{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.Strategy Selection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "strategy_name_list = ['boll_cross', 'sma_cross']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 获取每个策略回测的结果\n",
    "result_df_list = [pd.read_csv('./backtesting_csv_result/%s.csv' % st_name ,header=1) for st_name in strategy_name_list]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 分析每个策略之间回测相关性\n",
    "drawdown_list = [df['drawdown'] for df in result_df_list]\n",
    "dd_corr_list = [[drawdown_list[level_2].corr(drawdown_list[ind]) for ind in range(len(strategy_name_list))] for level_2 in range(len(strategy_name_list))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>boll_cross</th>\n",
       "      <th>sma_cross</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>boll_cross</th>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.74466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sma_cross</th>\n",
       "      <td>0.74466</td>\n",
       "      <td>1.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            boll_cross  sma_cross\n",
       "boll_cross     1.00000    0.74466\n",
       "sma_cross      0.74466    1.00000"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(data=dd_corr_list, index=strategy_name_list, columns=strategy_name_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 分析每个 策略之间daily return的相关性\n",
    "daily_return_list = [df['timereturn'] for df in result_df_list]\n",
    "return_corr_list = [[daily_return_list[level_2].corr(daily_return_list[ind]) for ind in range(len(strategy_name_list))] for level_2 in range(len(strategy_name_list))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>boll_cross</th>\n",
       "      <th>sma_cross</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>boll_cross</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.833342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sma_cross</th>\n",
       "      <td>0.833342</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            boll_cross  sma_cross\n",
       "boll_cross    1.000000   0.833342\n",
       "sma_cross     0.833342   1.000000"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(data=return_corr_list, index=strategy_name_list, columns=strategy_name_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## １.单策略绘制"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "st_name = 'sma_cross'\n",
    "st_result = pd.read_csv('./backtesting_csv_result/%s.csv' % st_name ,header=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "st_result['drawdown']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xdeec668>"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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OKtxNge/84Rg+uWF2i+sf+dEkUmLCqTtIE9uCinrSYsP9jo3uHxewviCmaZJXVsdg9/dq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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xdf0e400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "st_result['value'].plot(figsize=(19, 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2529   NaN\n",
       "2530   NaN\n",
       "2531   NaN\n",
       "2532   NaN\n",
       "2533   NaN\n",
       "2534   NaN\n",
       "2535   NaN\n",
       "2536   NaN\n",
       "2537   NaN\n",
       "2538   NaN\n",
       "2539   NaN\n",
       "2540   NaN\n",
       "2541   NaN\n",
       "2542   NaN\n",
       "2543   NaN\n",
       "2544   NaN\n",
       "2545   NaN\n",
       "2546   NaN\n",
       "2547   NaN\n",
       "2548   NaN\n",
       "Name: value, dtype: float64"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "st_result['value'].tail(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xde68128>"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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io7ufOKcL9sxJStpkCrbJbLSy57lYm2ywNWqEIQAAAAAg6Zf+6h8lFc+XKKMS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pR8dBpUnjTUZy3WTdNVyWlx/LfffsS5v3+x1oog1TjlKI3y2M5RVHQDx813F7GOOGC//v+7Zwum\nKzoefW7USpGP6QwZLuZw/sq5OH5BPzKyhK0HXTGk0Xa7Fd1APpu8TGaqrFn19oIYEhQYC7iuLQqY\npUVIHBHm7y5dhavPX+78m2r5FVlCX1bpyMyQbMB2kCxJzvu9c+N+5/aKZnicS7es34uyZmD14sFY\nr1XMeXO32RnCMPFQnXbd7vf16289D/dec2lXZY85IkjBuhZQic9rn7cs8nF07T7vuLmOuExOs6tv\nfABrNh1oyvF2MoZnZz/d57Za6/rEEMUKHdcNE0enqt04lSa5WqPem26a8A/NYueUXieqg454XRDF\nEBIW/a11u+k6wjCdAoshDUDBZ3FKD9JmqqzhlI/fgevvfLrlr91sTNOMFHloMS52vqDyB/r/pBCq\n6n+uVqzdWhGget8zhwAArzhziXNb1ucMeWqvVd5C1uxan9WbHtqJbYcmMdKXxenLhvGbD1yCi1bN\nx24hJ2RsRm1oAVxW9TqcIRmUNQMln6tEoffrc4YcGHe7v5imibJql8nEeN2BfAaf+dMz3NcWdjr7\n8wq+eu9W/PeaZxMdf7MJLJOBu/h47si0c7uqGx6xjj4j1KGnFkt82SIshjDES/7jt/ja2q3tPoyO\nRQsIch4qZHFszBK1ToEWZSRonLV8BI989KX4l6tOjnzcGy9YgY9cuRp/ddFKpxxi0ZB7PfnlE3ub\ndMSdi38xmyaWM8Q75lnOEBP/+osncfan76pqjVxJce5i+PIswqBSXmLDJ1+Gdf9yWWrH0elEzUsU\njzNE2AgKCFA1DO5uyTD1wGJIQsQLDS0oWtmznaDF/s2P7Gr5azebj/z0SRz/kduqbn94+xH8bssh\nZ2Erpo7TwBAU7Ob/87Ri8dYKZ0hZ06HIkmcHxckMCXiP2RoBqs8emMSHbn4CWw5OeYSmub5gv8/+\nahPe/d1HGzju5M4QMafCUyYjV08IAGDvmCXezB/I45v3b8enfrkRQLwyGT+SMBkhV8T1d3SWCCna\n7t9yobXgkGXJczvx4LbDVWLdinlFLJsTb0F23AJvOU0rW1YznYuqG9h6cArX3vpUuw+lY6GFZjZh\ngHSnQePs81bMwX++/kx88tWnYt5AvmY3qrn9Ofzti07AwsGCI2rPH3DHl11Hp8Me2rOIl+JmZIb4\n28lnFKsDG7VF9o8FaeadeYPsI8pkTNOz6O/PZ6ociL1MpDNECr5fcICqVRb1n68/Eze/68L0D5Rh\nepTZc7VJidWLh7B/vITDgr2wHc4QGjd6cVP2++ueA2CdV1Exf91Xfg8AuPv9LwLgdYaIvdgJerx/\nodySbjIt+Eyoulk90XECRatfv1aZjNgFYJ4wQSUrtMjtG/YlPl7AcmlUdG9HmDgsF+rpvQGqwWUy\nByctZ8jc/iy+Z3+eADgBu/XSqS0gRdHjpMWD+IsLrBBD8VxdvGo+7nv2EK67bVOVM+fFf7Qg9mst\nsuu6M7Jlt+bMJAYAJkudl6XTadB3JVeHKNtJ0MJVkSX8aY3SmDDoqjEobGps3DsefOcepvnOkOrM\nEFXoKOaP20rTGSJeE6ICVPWA45xN1FMmExSgSq116/1OMsxspbu3J9qAqhtYtXDAc1szMkM03XDs\n60FIdkPftPvSdxJiqcuhSbfsoWQ7Q/rzGUcUokXunKK7iD9qt4jzn6NWBD62YoFY0aqDSGnHMUj0\nsJwh4RMd8byI7e1E0alRVN2EaSJxa92XnbrYGfxzngDV4PdLuR75jOJpfe0Xj6L4ztsuwJevPttz\nWz3OklYgvi9xh008V4uF8pZP3LLR8/gkCf6yLGHthy7F7e+zREkOUGUAYILFkJqoAWUy3Qgt0BoJ\na6SFv/gcEyUtMMeilxE3Z9Kez4VlhogbRP7w8TQ3cr73oLsRYZjAeEnFf695tuo9z/aWsFHXA0+Z\njPBzUIDqbD+PDFMv3T0itwHNMKt2h5vhAvjPuzbj5V9ci2cPTAT+niYSvWhRpzrk8Rl3ci22O6Wd\ni3xWRsF2GJBiftz8fnz8FacAAI5MVWCaJqZ8gZfNcoaItbdiRkOzsNrMej+LVDYSVA6TkeVIkUZ0\nk4hiyFCKYgjl7CQVQwDghAWWCOkJUA2omwVcl4tf/Eiy+3TxifPxSiGPxXqd+MfbSkQHlbiTlBdu\nXzwUntSf9O+xfG4R/XnrszcbQ5yZasZLau07zXIonLLby2QyaYghBokh3tuPzLIWu95uMuk+d5Dj\nQpFlTxmtf+ykzmtpMCl0XjNME5+6ZSOuv+Np/EYIyqWXn9XOEIW+T9W/83STCdj08DiLDG6tyzD1\n0N0jchtQdQNFX8p1M1wAT+waAwDsHSsF/p4GsF5chpDYJE6uxXNcshe6fVnFac8n7thTSYWqG/ja\n2m34+n3bPM/frJ3sf799k/PzR376B/xuy6GmvA6h6kaV3ZqcEoFlMhkp0gJLjhvAytog0hRDaDFQ\njxiycMg6JrHUJRMi/pAzJJeRIc7XpQZ3TTrV3h5USwx4F10DAeVORBJnCEGTsXZ102I6C/F63cuO\nxXp50efW4OobHwAADHZ5pwwSXBPmYHu4+MT5OPvYEVzzspM8t4sbH7MBvallMkZVblRWlqALbhD/\n9TvNMpmyajjOUsN0/7ae0g779WezGOJvVS0imkbEcV4JClA1Z3e5EcPUC4shCVF1A0XfwsFvM0yD\njK9Fqh9HDOnBOWcxHyCGCOeYBtRiTnGyJ4JqKVXdwC//UJ1O36wA1T1CxxUA2Lwv2NWTFhXN22YW\ncD83EyUNj+w44vldTpEjF64zgrNlXr+YGZKmM8RucVuHGPJPV6zGGcuGcerSIec2JyNF+HzsPDKN\nUXt3MW07+uLhcHdFpyDOfcUyqqAwVaIecYoWRL3oTmOSI5bJtCJAutt47sg0Dk1a16UoYbIbSMMZ\nMljI4qd/dxFOXORt6T3bxBBxN781zhDJ8/30z4fSbK07U9HRl1UgS5ZA6ggfwueGxo/ZXN1BY/Mb\nzlte9TtPO92A1rq6z+XT6IYPw8xGuntEbgOabiKXkaHIbt1lMyZ+NNkIW7w64Vc9uBDpt1PExTIZ\nURQ6MGHlhxRzgjNEWPTSgKEbpqdMgGjWKfOXrCiNbJvFIEgMoUH1hnu34j/u2oyRorf9sG6YoWFl\n04KltV/YuRxMceJedpwhyZ0Ipy0dxi/ec7HnNkc0dMRBEy/83Brn97phOvk6afDSkxfhjg37U3u+\ntBAnROKi1JuvIuHtFx+Hr/mcUkB9zhDnGtXA9e+nj+3C0/sm8eGXr677OZjOYFxYxKp69bWJcRno\ncmcILcTkJuxCj882MYR28w0zdUeVGpAZklVkz1i/ce84PnnLBuExKYohqo5CVoYkSTBM0xmnxXKP\nIIFktqHIEjZ+6mWB8yI5JDMkI1eLIaY5u88jw9QLz1YSouqW7VDMImhGN5moriCAYDPsPS0EfXaZ\njBigKu787x+3SocKWcVZxGUCnCGaYQZOyJvlDPHvrkclhKdBRQ+wwNr/pt2d0Wl3YpnNWMdDuR1+\nxMyTfqGtXT2ugTAaKZMJwv2eWH9T/99WMwxHMFy92LsDWQ9/du5ynLV8BMvm9DX8XGkiiqKik0cU\nsrKKjHNXzgl8fD1iSBrOkH/84Xp85Z4tdT9+NjBZ1jzfzU5FFOG4w1A03S6G0N5DWguvtR+6FP/3\n1+cDmH3OEN20dvNlWzBI9blDnCHjwnf1Azetx91PuRkeaYohJVVHwXGGwCnPEedGNJed7eUdxVwm\nuExGFECEdYccIIbopokuz2ZmmLbAX5uEUDtTcRHajJp5Us7VkOc2etgZQgOlaNcU3Tf/81tr8VTM\nZZC3F3HiTgOFSepGdetZoHmZIeRSIdIY3MdLKi647u6qkhcgePdVkaVQuyktUD79y6cCfy+21qVw\nTKC+khY/92w+iNHpiiPEpLVr7JaTWZ8V/3dRM0youoGrzjgGt773ham85snHDDkOl05BN0wsHirg\n3msuxauE0Fexu1JWkUPLhvyf3TgE2XSZ9LnqS2txxifv7PgcDlEMSTN3oBdJ023XDug6ktb6dfnc\nIp5//DwAwNj07BJDaDffEkPSfW7NMDzh2oA1vzo44XbnEzedgJTLZGwxRLLfW2CZjBOkO7vFkDBC\ny2R8rXUPjJfskis+jwyTFBZDEkKDi6hsN2MXzLXARTtDenEdQjWP4g5F0Dku5hQU7EV1NmCQ0Awz\n0HaoGyYmmtD5IKd4XysNZ8iTu8awf7yM99+0His/fCu+tnar87tyQGtdwAoY9S9GTl0y5LRqvnfz\nwcDXmhadIXnRGRLsGoi7CJ4qa/jLb6zD2771cENlMkFkfaKhf1dL002ouom8XdqWBvmMjHKH7dTr\nhvW5P3Ze0WNdFztfZRXJIxqKFOr4e4jfM6Z57Dg8jYpmYP94ufad20hYxhNTHSjb3/XOkPTLZEgg\n/4+7NmPz/ubmbXUSup0ZIknpb27pRnBr3Sj3TSXF+WxZNYIzQ0RnCAeoRiKelrBy8Ls27sf51/0a\nWw9NsRjCMHXAYkgCTNNaWGVlyXPBaUqAqn3RC8sjcbvJ9N5ChHYNPM6QgHOcz8iOvV8J6DCiG8F1\n61/89TM4/RN34vBkuouL6jDTxr9eeXvHfsdhq1XvDfe6YkhQZghQ3U721CVD+NE7L8R7XrIKAPDi\nkxYEvpbYTUYsYxFfQ+wyE9fOTMLdH3aNuWUydTgRgqC/u24YuGPDPty41puHQc6QINGoXvKZarGp\n3eiGETiZFMPUsors6cQjUlc3GSqTSUEM6XTXQyfQ6a1rRYE5zfacvYB4vchn5Mgw426Axthm5RN8\n4e7NTXneTsQwTcj2nDLty6CqV5fJ1HI17h8v4covrsXWg5MNvz5lhlAJUKAYYr/pZuTP9AKS5Lp9\ng/JDdMP0bJKxqMQwyenuEbnFuP3QZc8ioxkBqtmAtlkivdxNhi7m4gRSDzjHkiQ5i/ZMkDNENz2T\nzo+/4hQAwK1PWB1mDk9VUj1uvzCVxpjkd1CIn4ewRb5fhFk5vx/FXAanLhnGvP5caJyo6EISP9+i\nMLJw0BVDqGNLLWixXNENt0wmpcWA2Fr3Hd9+BF/69TOe3+uGAc0wPbW2jZLPyChrRkct4HWz9iQo\nq3jdMbe994U4+9gRAKgrA8WZjKVwHrj7SG2a4WZLE083GXaGeBCF5mO6oCNVLWhR1qwF7GzpiFFS\ndYzPaJAlCbKUfslhkDOklsPs9if3YePecXzRN5bWw4yqoy+nOCVAdJkX/7x0qeDgz3Do3IjzGNEZ\nIm5M8WlkmOSwGJIAV9X2LnSb4QxRnEVeSJlMD4shdDEXnSFh55gyQ0SnQUYQksTbl88teh6b9jzO\nvxuaxsTGv4gXA3XjOkP6hVIJWsgHEWZ2EF/j6vPd1m9HY9Z2i+ehrKbrDCGxK6xUzSqTMVJtsZvP\nKjDNzlrAi+0Z/ZCYZWUdUUtM4JQlQ7j+dWfiR++8ECvn9yd+TdnOp0njc14KCfVlXMTuWp2I6Fz5\n3O2b2ngknYcYgHvqkuE2Hkk6kJbdLEt+Gm6zbuDy/7oHNz+6C4rcnABVayPAO/ZRJ5l3vOj4wMdQ\naeXe0VLDr19SdRQyilMCRBsu4p/XDVBt+OV6FvqeBWaGGKbnc8OiEsMkhy8/CTAEO5/cZGcIqflh\nXQQMJzOk9yYN9J5EISjsHNNCT7T5O24Bw/Q4EJrtHqzoOub2u4GVaSwS/X9e8TkrIe0r/RZsT/5H\nVgkNSAv7LInOkDdfuBLffpuV+h/XGSI6B8jtk1ZmCL3/sA45VCYTFKRbL3Q+xMDZdhPWLhlwwxr9\nzhAAWLVwAOetnFv36yqSlI4Y0mEZLJ2CeA3s9DIZUazpxPbT7UT8fB9Xh/DYaZC4nPYC9ktXnw0A\nePS5o6kGeXYqO4/MAICTGZL2dE43jCpnyLQ9bs0R5ioiR+1x/dBU42XEJdVAPqs4JUC0aSG+Tw5Q\nrQ3t5QQ5oHcencbm/W5JE59HhkkOiyEJEJOwPc6QZrTWtWcZZTV6F7/3pBB3wNWE3AcAACAASURB\nVIxyhtx7zaUA3MVwQViwizkSoljgt/SmLWKpmrd7TRrBktWtYgVhQaturQsAe8e8OzpiG8ecIuMX\n6/fghw89V/U4mpTc+JZzPbf7BZflcyyHTVxniPino89zWt1k5g1YEzoxHV9E042qcqlGWWzb3PeO\nz6T2nI2im+Ep8iSGWS3B073kK3J9Ysi2Q1O44gv3Ov8uVXp/4VMPM8IiWixD6UT2jpV6ogSkGYhl\nMsV8OkJwO3ECVFNeeL3qzCX4rzecif3jZWw91HhmRbcgSxIUOV1nyJO7x3B0WsWk77oxbXePmRsi\nhtDlPI1SVs0wkFOs+bKYGSK+Tw5QrQ1dPzyZIfb5uu42rwuPs1cYJjkshiTAMN2LtljT2sxuCuEl\nDb3rDKH3FuUMOXaetSCn634+wBmi6V5niN8+GFaCVC/+VrfNdIaYplUnGqdFo+gMoff8Tzf/AdsO\nTeGEj9zmBKXpponBfAaXn7LI83j/pGi+nRsSJkD4EZ0h5ODIpySGDOYz6Msq2H54qup3iixBNcxA\nq3AjLB2x8jV2H+0cMcSIyEXpz1l//4wipT7hrFcM+eq9W7Fpn9sxgstkghEdBZ3sDCmpOg5NlrFi\nXrH2nWch4t+xns5NnQZdapqxCz1itwOf7iDnXbNpRpnMk7vHAFTnQU3Z53VuMVgMIeoJ1faj66Zd\nTmkHqAY4mnWTxZB6CCuH4dPIMMlhMSQBtMMtpjsDzSmToQVG2ASYBpMe1EKcwbFSo7Uu4L5/T5mM\nkBmS8zhGmiuGlHWvUyMNkcw/OdKcz4WG6YqOJcO1gy/FzJDdo+4C/pb1e6AbJn762G7rtQwzcFfB\nH2Y3kM9gsJDBvrF4YoBY//2xn28AkJ4YIkkSFg7lseVAtRgyp5h1WuBmU5whLLOdMbs6SAzRDDN0\ncjRgC2ZlNd1yIcAuk6njIuT/+3OZTDCiY8a/w9tJ7LGvKyvnuSUgO49Mt+twOg6PGJLCIrPd0DjR\njAVs0T4/nVSG2GxkiQSD9J6Trstvev6KwN/P6c9W3TZPcIuk4d7U7ABX2S4BCsq6oyByLu8I50NX\nnATAex0J++7xeWSY5LAYkgBHwZa8Fxy9CQGqNGiE7T43043Sbui9V4RA0rBz7Fg6A0QP8Rz98u8v\nrhokKim3f1Q1q7vLoiHLOaGnILYELTQ37hnH/nGrFGZRDFu66AwRnUYk3JDoZMToSEIsGe6rKscJ\nI8g5kFaZDGB1uNkW4Awp5jKOvTSb4uuRvXg0ZplQK6D2jEEssJ08ZU1PNUgWABSlPmeIX5QphZQD\nznbEMplO3infY4ctikG8L75+TbsOp+OY8Ygh3T/tIuG1GbvQRdvJ1smf97SRJNiCQXpzEtpA8rsi\nX/u8ZQCCc7sWi/OJFA5FN02n+6IhZIZ4y2Ss/7MzJBwSCMXvRNj54vPIMMnp/lG5hYi1jeL1ZvP+\nydR3wWgRHLb73Mtp605mSIwAVRqxxb9HxskMcVO2TzlmqOnOECqTufN9LwaQjmAVNDm68ktrcc/T\nBwHEa9N48jFDgbfTgpS64Fi5E/GOa9FwwRFkahEk6KTVWhcAFg4WAkt2ijnF+Qz5Q+QaQZEl5DKy\nZ4HTbvQIZ8i1rz4N77l0FV544gLnO5BW68p6A1T9Yhg7Q4LxiiGd6wzZPWqNfyuEjl09PEQlRhT7\n+nrBGdLE1rp9OVr4de7nPW2sbmAS0txXo/mNv3zy+tedgaevvSKwrFKcT6TRMl33OEPMQGcI3caO\nhnCK9obWlPCdCBM9+DQyTHJYDElAWDcZAHj9Db8PfMxvnz6A9/3gscSvpduLf7GswfP7Hp5pOpkh\nMVrr0qAqoTpYSjNM9/dS9S5W2mJIxS6TyWbcMp1GCXuKmx/dBcBrSw/i/JVzsXrxYODvaEFa0a0F\nF03I4jBYyGCiHG+yGiTcpbUYB1zng58+oTwo7eDQQkZuaAFvmiYu+uxv8M37t6VyPHpIiRNgdQ34\n4MtOgiJLqZ8HWZZw2x/24tBkss4DOcW7IExj4t2LiAvCqQ7eKd99dAayFB7KONsRu131RpmM9f9m\ntPGk1q6zqUymoptOyGha0GZM1ucGlGUJ+YzibBCIGwWDhWzV4+uFxA+aL4dlhohZfEwwQd+JUGcI\nqyEMkxgWQxJgCLWN/uvNvpBd8rd+8yH87PE9iV+LBqLJsha4mOzlxQMJH3GcIaLYQdDgrhuG46yQ\nJCmgm0zKzhC7m0xQmc7BiTLe/q2HMZawtCLMAbRp3wTmD+RDhQDipndeGCg8SJIrEJAzxDDD27MC\nbnAoYNk2SzEnq/7P6qqFA7EeF5dFQ8HumGKuOkcmLfpySkNiyP7xMnaPzuCTt2xM5XgMM9wZIpL2\nhHN0uoKj0yre+/1kgq/fGdLLTrdGmCq7n7GoxeFzh6dx54Z9qdrsk7B3rISFg4WeHpcaQbxWpC1I\ntgPHGdJEMWQ2lcmoupF6ZogW4gwhqOueLEv42CtOwc/efZHnGtNo+Te9l4wjhgRnhriO64Zerqfp\nDygdCw1QZVGJYRJTuxUF4+Btreu94DSjPzwxreqe9qhAby8e6K2pMQJUSaAS/xq04FN1EyZcR4h/\n8KikHHxb1g0M57KeMh3ixrVbcfdT+/H9h57DO198QuznjFpcHD8/2hUSRUZwCdB51o3wye3jH7/c\ns4DtyymYjikG+B0yrzxjST2HHMrCEEGIas+BJjhDskpdZTK6YeK9338MJy5KVxDSDBOFbO1JUNoB\nqiRSNpqf0sOXs4aYLFvndeFgHg9tP2KVQ/kmuwfGS3iRnc/x+T87E687Z1nLj7OsGejLKTh1ybDn\ndtM0U3WBdStimUwv7IA3s0yGnDOdVIbYbDTdgCynmxlC85uwElG6XZaAt118HADgyFTF+X2je0W0\nqWV1X4xorcsBqjUhgVB0mCkhYzmfR4ZJDmuxCSB9QparnSG1H5tskBPX6dMB5Qi9HKBKg2g5TpmM\n/f9gZ4iVGUKDQ1VmSEjb4nopqzoKGdkRX8S/EYlZEwnbY0bNjYaL1WnwtZg/YAkHqm46n0k3QNVE\nWL7mSDHnERf6ckpsG7P/T5f2/HnhULAYMtznnp+0RYC+bPz3L3Jwooxb/7AXX7j7mVSPJ26Jk5MZ\nkuqrh/8Nwqj4vnu9XPbXCJO2M+TARBkTJS2wrGp0xr2mxM3xSRsSaYb7stj+2auc7gdhreFnG+LC\nPm2XWjuga3gzdJ28PYbOpswQVTdTb62r6Vb3sDAxUnHEEPf3R6ctMWTpSF/DzhC6ppMzROwmI17u\nDccZ0v3fi2Zxzoo5eOMFx+Kzf3qGcxu31mWY9GAxJAFuP/Tk6msS+/C+sRJuWe+W1gTViqc5aLaK\nHYenPO8rDMpLUWOUyZy7Yg4AYNVCNxdDLFMxTFco8f/N0i6TKak6ClkFkiQhI0ueyQSJIUnbY0b9\nnYcK0WLIr/7hhVW33fbei3Hl6YutY7FFNtcZEq/UArDEgLJmxFrE+j/7ae8mLhwMLpMZEcSQtLuo\nFLIKSnUs9PyfubSCXfUaJU4EOWTSunq84IR5AMLdOWH4z0M3Xs9awZRPCN9ysLprUllwHaQZFJwE\nzTA8146C3amilcG4R6cqqV/T0yJOS8xugq7hzdAwJUlCMZfBTKUz/5bNoKIbTilJWlhtbcPHvUyA\nGEIbOEtH+hrecNMEkYOcIeR8ER0wouOaCSajyLjuNad7unVxNxmGSQ8WQxLgzQxJKIYkGFju2XzA\n82//hDjp83UKV35xLf4+RrYADaLi7vF0RQuc6L/hvOVY+6FLcY4tigDwiBGm6YZ1NrubTEk1nLaJ\nsix5JnMDBdsZEjN0lIj6O4vOB5Eh+7WCusgsHCrg3BVzAbhiCJ1n0UVTC7Jtxlns+N9D2jbOsIX4\nHCHMMf0yGTl2ZorIpO/vb4X8ppHaH++80neAPiON8pU3nwPA2745DiyGxGOypHl2+uYFBJROlF1n\nSLsmwv7yHSp1aFXL5D2jMzj703fh7d96uCWvlxTxPIRdt7sJutY0K6OmL6dgRtVwoE1Op3ZAgkFa\nqLoR6UKSHTHEve0rbzoHf3fJCVg8XGi4FFt0fJDQQ3Mx8amdMhlexCcivJsMn0eGSQqLIQmgi7ss\nSYmtaEnGuL6cd2HRK2JI3G4INCEQF0x3btiPF6yaX3VfSZKwXGjnSCiy5Cw0ncwQ36c97cyQkqY7\ni4CKZuAb929zrL4k5JAz5OeP78abv/6g9/Gqjr/42gN4et+Ec1vU52aoL3gBuvZDL8ED/3xZ6OPo\nGKccZ4hbxxt3QtIX0Pc+DP8EL+2gtJGQcqFmlslkFRnrth8J/G5GEXT/NEreDMOMdV6ziox/feUp\nuPldL2j4NQHLnTSvP5dYWKzoXCYTh8myhv58Bm99wUoAwYslMWT12lufwv/89tlWHZ6DbpiehReJ\nwq1yhuwdsxbN92w+2JLXS0pJ1ZFVJPzfX5+PExakmxfUDmiYaNb3tphT8JtNB3D+db/GHRv2NeU1\nmkEjAgKVkqSFane3C4O+reKi+qTFg/jQFauRUaTUnCEZ2xkiCmfiz2SgZUdDMsKcNOywYZjksBiS\nALdMpjpANe5j41D0td4LWnB2207qrqPTzs+1dpNoEBVLYw5NlnHakmqnQxgZWYKuW5kh1HbXr5g3\nq0xGhP52FABLzoB/+MHjWPvMIc+5eHTHUdz/7GG89ZvrnNv8f+db3nMx5tiL/7AdxuFiFouHg0tH\nAKsmWzyWuspkbMGuE5whkiTh6vOX46NXney5fU7R3UXPpKzArH3mEADgOw/sSPQ4vzMESOdzmMTV\n81cXHYfjU1yQZRXZ6UgUF/977rLLWcuYKmsYyGfwiVedipFiFhMBZXaTZW8O0Tfv396io3PRfM6Q\nvhaHYHZ6vkRZ0zFSzOFFf7Sg3YeSCs0skwGsz8/+catd90/sNvKdznOHp3H8R26LVQoMVM+DUm+t\nq5uRZXP0SkHjhiJJDQtdbpcY2RF66JUCnSG8iE9EWHYha0oMkxwWQxKgN+AMSTKw9OW8C+qgBVSH\nlkYH8rtnD+Hif1/j/LvWuaDMECrfME3Tqn9NsKB1nSHh3WTSDFA1TdMqk/G1DKVFHwk8/vd+7a1P\nOfehCebesRIe2Ho48P6y7C4wBmtkhoRBn6/xklcMEfNVapGk/aF/t6wZk57P/OkZTiI+ITpG0naG\nEHMCyhaiCDpfSYWEIPQErp60yWakxIKO/z2zMySYqYrmfNcGC5nAAGZ/DtExEUJos9AN78LLLZNp\njRiS1KHVasQSyl5AdsodmucMIYJycjqR9btGAQC/enJvrPsHbRKkWyZjRjpD5hZzeOnJi/A/f/G8\nqt+l6QxRZGvuJYbgGx5nCAeo1kvQ5hWXGzFMcnpndG4Bop0vaV1eEvuk/6nHZqonwI0mfaeFaZqB\nYo3IL3w7JbUGWSczRFikA8nCATOKbHeTcSdu4mCbVaTYZTtxoK4JeZ8zhMIN6e/l/9t+/b5t+OUT\ne6qOb/N+q1TGf6oysuy4TIo+0Swug3ZexKidHO+UyQS07QzDLZOpvQjxu6KaNenxfydF50wxl24X\n8U+88hQAyQMrg74rZb3xz6Fptm9nLavIVWUvtagqk2FrSCAl1XDEy6FCFtsPT1fdx59D1A4xRPN1\nM8o7ZTKtGafEUqFOpFKjZKHboMteo7kSYYjX60OT5aa8RtrQJoXfHRqGPxReSj1A1YjcBJBlCV/7\ny3NxwfHzqn6nyFKKmSGyJa4I71d8Zg5QrZ8g4YMdNgyTnN4ZnVuAYbpKd9L1XBLFX7yrLCEwREzc\nVWhWiFkcfvTwLpz2r3dg68HJ0Pv4Fz5R50LVDWdSQc4QsV99XCxniGG9FnWTER6/cLCQajgbiR55\nnzOkrHmdIUHQJFl8ezRx8P9tFVlyFo717jRSF5rDk5YYQru3cTuSAK6gEmTb91O9Axb7UBtCDPXs\nr1M4CuOPT7U68vhbxNZC3MGmOUtYp6QkGKaJdnXszCly4vPgvya08xrWycxUdKczSyGr4PGdo9h5\nxCuI7B8roZhTnM/4QD7btEVqGNWZIbYzRGt9mUwndpQxjOiShW5DcZwhzXl+0R07Oq12xfWhbI+j\nfTHFEP81UJbSvQ5aAar1zREsJ0d6mSFZRYYaMmd1A1QberlZSdA1pYc0V4ZpGfy1SQBdtCWhm4y4\nII0ayJLsfIqLx/kDead21vt87s9pBDDWy6837QcAbBJCP/34F8NRx0t97os5BWMzKg5Nlh1HTpLJ\npCJJzuMcZ4igmC8eLjihe2lAk37/rpAj6PgWvDlhxCJxQlT0STCqdoa4IWv5TGPOEDrXVLohpr3X\nglwXQa4lP37xq5k2zh+980LnZ1EAKSbsdlKLnC16JV14iSUN1G45jXKtJJkhaZNV5DrKZPwBqmke\nUe9Q0nRnYfgXFxwLADg8VfHc5w+7x3DKMUO4759egkVDedz86C688HNrqp6rmViZIe41jQSccovK\nZCYFZ0jS9uWtwO+c6XakFpbJAJYg0ukkd4b4xZB0nSFqjcyQKBRZTiEzxC3/zSqSdc0nRxGXyaRC\nYJlMD11nGKZVsBiSAEOw89F1+3XnLMM1LzsJQPAOL12XklS1iAPFoqEC9gU4GMSdv3bW29OCPGpn\n2C9+6BE74UenrEnPoiHL6n3Zf9xTlzOEwsgM03T+BjRXlyRLDNmfojOk5JsInb50GADws8d3Q9UN\n5xxQmKtoX81lqr+GTsZIRIlJ3c4QW8ggMYgmcYYR310wbOdxjMYQQ/wL3WYO1uetnIt3X3oC5vXn\nPJkqAymXyZCbp5xQyBDPlyOGpBGgarSvpV5WkRK7W7i1bjxKquFcY48Z7gPgdUFouoGNe8dx+rJh\nzOnPOaHBu0dnWnqcfudDocVlMuI5qVW22Q78zplup9mZIX53xXcfTBZU3Q6oVMvvDg0jyDGZboBq\n/aVZGaXxAFW/M8STGSJcFjhAtX6UgGsKn0eGSQ6LIQnQBQWbFh6yJDmDXznAEkyXpSTOEBoQP3rV\nyZg3kHN28D3HIjxfs23B+8dL+NrarYHOF1rIR2UG+C3bcZwhCwbzACzngS4MqnGh+lsxS4HcGfMH\n8pjXn6vaYW0EmvTTIoA6m3z9vm24ce3WqoyXrDBhovMjToToPQeVyRCNOkMIWkjoCTJDyBkyHksM\n8b2HJg/W17xsNR752OUeq7U/lLhR8jE+90GIO5xUxpP0OYIQW0i3mnoyQ/zXABZDgrE6VFmfNfoM\nzwhZR1sOTqGkGo74Gnchljb+bjKFFneTETNDxgNCZttNkk5d3QCtsZu1EeO/Xn/+zs2JS/FaDX3u\n4p4T//3Szwwx6w4Ol1PtJiMho8ioCIJ50FyHF/HJCXaGtOFAGKbLYTEkAaKCTRccrxhSPVg7dtIE\nAwutK55//DxkZKmqxMK6j3tb0O/T5J3feQTX3voUdgSE99HOQxJnSNTC56gtUJAzBAC+t+45ANag\n+r9/dR7ufv+Lah6zLFsLRENYJC4aKuDyUxbhK286B7k6rP1R0HNR+Yvo9jg6VXF2zk07Okwsk6HT\nIx6OHiCQAAjcfU2KX0QpqQYMw0xUapHPKChkZSeENYzxkooj/z977xkgyVWdDT8VOkyezVlarXKW\nkEASiCAEAkR8PweCAYPBWDbBxti8MgaDDTiAMcGYz1gWIlgiyAQJVgiQkFBA0moVVrsraYM2592Z\n3cnT3RXeH1Xn1qlbt6qrOszMztbzZ6a7q6tuVVfde8JzniMFnaZD7VzFvmkGdN9n7QQzNBFcCyrj\naYWRz4WCpxpFM/uzJM9ZeTcZNSZrtsiSU+kADzCs3zsEIGCiyQLOUwXbcZTdZH66bh8eem6g7cfn\n5XozsUwmS6D5eEBQJtOe/Xf5TL5uVt64Yd9Qew7WItA8npYtqGKGtFIzpGo1rhli6uHuL42AJ7GK\nhgaLrRH8LAMtvtnzfEwVVMzc/DrmyJEdeTAkA2idMnRNOB6aFjiXymCI/zdL5pO21bT4dmu8ZWG7\nNUMo+69yeESGPMEAyKIZQoKcvYy98Lk7NwHw6lhfduZCnLawp+6Ydc0TGvUOFXSTueGdl+KSk+eg\nYOotDSLxLAgQDjh0lcwguOFfpsWs4wMF2bjxQdtHSkxawAxRYaJmZ9ad6O8o1tUMueTTv8LHfrw+\n9N5sWKsNXYOha6hm7ATDmSF0r7RKQHW6BOgaCSzKTLk8FqKGxwzxnvOgg1Nwz23YO4TOooFVC7oB\nTC8zhM9NxD777XMDeOsND7f9+IdGJsXzlEbUearhtR6ePeYWXet2Mbrmd3vlXpoG/MMbzwWAiHDw\nTAPNgWnbSct2UKtb6zbDDDF0YtY2Ph46P13XYOreGkGjCQmoUpfGnBmSGaokwnSVy+bIcTxj9qzO\nLcA7v7EGb/2vh/HErqO46+mDkc8DOl+QhdU1jbURVJTJaOHvpgEXlDJ0NV0xHAxpL31UT8gCpSmT\nyaIZQqVGquh2ZgFVFwDU5QNE7W9VJiZQRPeDIYy10V0yxTWg36pqOVjolwI5UqAECARZk5ghpQaZ\nISqMVazM2cu+jkJdYTuVoz9bMheNaGXwTA45Ry3RDMkgfttqFAw9M0NGntOmuvvJ8YIJVibTqSiT\neXzXUZy7tFc8U8VpaiVgS5ohBUPHnM5Cwjdai4PDkzh1QRcA4OM/2TBlx00L25m+YGU7YDTAeM2C\nJf2ePk7FcvDq87zOXcMzMMjF0TwzRM0CbhSyqHEW0HzSDGOPM0Mo+aRiFDkiaNLwoXIwzBb7KkeO\nqUQ+/TDct/kwHto2gP/ztd/ivd9eG/mcO7xClFMLsnEVhVgcCWamjfhvPzKGr/x6q79vDTprpcrB\nhenaXSaTJJZWFOUCWTRD4rclQ0LFUMgyyWskoOqo91X0MyatYtXIuibcKeksmkIzhLar2o7I+DoK\nZsik7/AkaYakVa1Pg6GJmldqkSUY0llI1U1GxlQ67ZecPKdtxkEjLWVHJqPMkONeM6SBMplIMCTX\nDInAdV1M1hzBCOmQymQOj1Tw1J4hvPSMBeI709VZzLKjgVTSfZoKHBqp4FSfHXNgeHLGtde13dnF\nDDltkXetz1xcn6XZCJb6YsF9HQXRbW1kBmrBcFBgXKUdp4I8B5aLBiZbqIviNtFunZ7lZuYTzpYt\n6FponQtphuRlMk3jP99+ifg/v4w5cmRH3dVZ07RvaJp2SNO0mZdumWLwbjJhAVUqk1EsgoIZku4Y\nv//1h/DM/mGxb69FbDIzpN2Gn+iIo3BYhGZIIjMkfecICoao/OUsavy6pgnNENW+hOZDi66dze4N\nIMza0LTAUCLjosKcnKAkJrgulAWTf/pQMKSJMplb/viy0OvhyVpIXyUN+joaC4ZMJR321j+5Als+\n85q27LtoGpm7yfAgJt3Px31rXV3LfB1kRyCLwPSJArqmpANCzzuVyRwa8bpB8bLBdrME4+C40Tae\n87unJhhybLyKY+O1kGM+00pl5DKi4x1XnbkQP//zF+N3L1nelv2vmOsFQ/7kJatQMnWYujYjtWA4\nyAZSJcVUkJ/VrqKB8RZ2QmpmTaBnuZkgdZAg0mEaYdYLn/5l2ylHdpzF5r68TCZHjuxIk6r4JoBX\nt3kcxwV4pJvsGq2OgKqeEEhQ4fBIJfRdI44Zwo7VbvFBWlBVp1Aw/ex2izRDkpyqbK11vfIiF2pm\nSKMCmHEIqJ5RzRDLcSMBj6rtiEwv3Rv8Om07PBp674pV8wCEr0Gj9cAA8MJT5+MDV52GlfM6AQCf\nuv3pzB0P+hsMhkylT6DrWtuckKKhZQ6m8SAm3Zet0QyZPgFV08he6y7PCXksJApaC6g8Rtc1dBQM\nTPjdn+i+KZrB797vt9adaqgo+XOmYCzjVQvv/uajADzBcUKaLldTCbn18GzA2Ut62+Z49XcWsekz\nr8Z7rjwFmqahp2zOuACXDLKBJjMyQ156xgLc8M5L0Vk0Q3pAzaKZduutYIZYwl72Syn5WunywEjY\ndsqRHTz5lgeVcuTIjrrBENd17wMwOAVjmfGgdYGETQG/TKaQJKDaeO0lCbWqkn1hZkhjC9bNj+zE\nyutXiw4ucSAbV+Ww0HtJQQx5QU0q66lYNoqmrrxeWYxJ3RcAi2WGNNgaNQ4y1ZN3erFsh2mG+MEQ\nyxHbBN1kgnPecmgUjuOKMpl/e/OF+O31Lw8FWZo1RP/qVWfipne/AIDXlSJzmUwKzRAVZovRUzSz\nlcm4rouK5QjnNiiTad4AjrvPpwKGrmc2muXgiep5/+XGA/j4T9ZH3j9RcPu6fQCAq89aJN7rKhlY\nt2cIa3cMCueiwEryPvPG86Z2kD5kzRDAG2u7sXbHUTyx6xgA4KIV/eL9meY4W870MbeOV5RMQ6xx\n3WXzOCiTycYMoTnvXS9aiVeeswjdJQNj1fr3reO4eGDLEay8fjV++Nie+O2aKJ2ktUmlgzc0UcO/\n/mJT3bUv0L7TRTAkYBkH2+XMkObB7cJZVI2XI8eUoWWPjaZp79M0ba2maWsPHz7cqt3OKPAWYKrW\nukkCqo3QDXVNg6GrHYVWCKj+4NHdAIC//+lGfOOB7YnjANRUdkuUf6TXDEm6FlXLQcnQ8drzl0Q+\nyyIGRm3qXFddckOaIa0uk6FrVTIN3Pzey8Rn1FbODgVDwmUy3KEcr9oYqVjCaCiZBpb6onLff9/l\n+Mgrz2jJuPs6ApFDx8leJjNRs1PXSBNmi9ETyXbVAQUMSUuh3xeYbIXmjzudzJAYkeckRESVFd9/\n33cew/88vKupsR3PGJqooVzQcZLP3gK8Z27N9kH87n8+JJwRHgyZ01XEB19+2pTXjVu2E2HudRaD\njmCtbBlK+Nydz+IXGw8AAH76gStRLhj43vsuBwD86ukDLT9eM5iNzJCpRE+pMOMCXDJoLailnAtl\nnbHOkonxSv219Kv3bMXbb3wEAPDdNfHzYzNrAo3pqs/fG/nsa/dsxVfvOfKWMAAAIABJREFU2Yof\nPR4fiAGCOd7UtYjYeEgzRGLV5sgO3kUsD7rmyJEdLQuGuK77X67rXuq67qULFiyo/4XjEDyCrTFm\nCBmjKqdGk76bBTp1k1EYkjz70CiVkRgtP3lyH/7hZ0/HbkfnaisCHjS2JFs3wgypUyZTKui4bNW8\nUB0kkJEZogWt4VSLQys7eQDhQBnheSfNARAuk6GgUc12hAYAfVcOEo1M1kIdjAiXrZqHD159ekvG\nzVsY2262bjJU5jOZMhNGmC2Zi6zMEApgvuPyk/Gxa8/Ch17u/YatKHNrJgvYLAxdE8G+Hz+xB9/6\n7Y6635EDpEnOcjsc6eMBYxULXSygAIRLT6jVaFFqp1swdDhu+8snOVSdqDgzJKumTBp87d7ncPMj\nnjNILDtq6Usi5DMFlhMNFuVIj3ndRRz0NXJmKmgtUNlJKlgSI6KraKBqO3XXlHs3HRL/0xqsQjPt\n1rcf8eaWMUXZDs03B4aTfw+6DrqmwTR0WE7QWjfUTSYXUG0aeTAkR47mMEvckqkBr22k6Ubz2RuA\nmjmhaiWWFtTCV8kMsWzRsaTRzHJJMqLjFmFao1THIacmyfCOiCXGbDtasXDLI7swPGH5xw1P6tk0\nQ/xuMjHZESqTaR0zxB8jO5aou2VlMrbtlb5YjivqPEWgRLq+b/qPB9teT2saOq45Z5EYR5aFlM4v\nq7M6Wxbrkqmnrg8HgqBRZ9HE+15yKjp9Z7EVHUCmU0CVM0M+/P11+OTtG+t+J8IMceODI60qZTve\nMF61xT1CmNMVBEOePTACINpOV7Q7b0MAIg6WgvnQXQpYZzcmMA8bgTznEMuuu2SqNp92OG7u7DWD\nc5b0YvOB0RnXJYijaqvX8TgEZSQ+M8QPfE7U0Q3huy8liKjbrttwKS21M1Zhnj8HPbojuXqefirT\n0HwWZTBwN8QM8f7OFsbodMBka0A+z+TIkR15MCQDRARb4611taD1rMKp0dh3dw+OY+X1q/HYzqOp\njmdoWiwFfbJmo9vPglm2g18/exArr1+NLQdHUp9Ph9Sadc/RceV2dH4qp42cmCSHLq1myG1P7gUQ\nOD9yViMLM0Tzg0iO60L1LSqT2bhvuK5mShoEVM/gPRqv5biCEeL9721LwSihGeJfyw+/wiuBOTJa\nFYybdjq6F/q19pWanek4eoOBvtkSDOntKIjAXRpQS9SOove7G4Jx1YpgyPSpyBu6ljmgYzsuXrBy\nLj75+nNQ9JkMHNx5nqzOXAeonVAzQ4IAw6A/bxWMKDMEaG8QacvBEcmhiTJD3nnFyThlfhcAYOO+\noZYeX2aa0Fy6Yk6navNpR84MaQ7PO3kOqraDf/n5s9M9lFiIMpmUz50oIzEoGOLZY2t3qoMMtuNi\n5fWrsW73sVT7b6ZM5gWnzMWHfPapHHikoM2DWwcSz1UkcjSv4xgQ2H6cBRskfBoaag4J+TSTI0d2\npGmt+10ADwE4U9O0PZqmvaf9w5qZoHnfa9tK/weRWJVTQ2uR7bi4f8sRAMCta3enOp6meZ0w1K11\nHZEFe9t/P4KbHtwBAHhqT3qjsywFQ+LKHWhuVQZDBKuhec0QOcOpSWGMLMakoXu/kQu1Zgg5DH/+\nvSdx1RfuTb3fOKionrqvLWPZrjACPP0QCob4ZTISu+bMxd1iHzYzKNoFuu6TVjaDXWf3dhbMFqcg\nTWvhDXuH8PP1+wEEZTJUHkWlWq1ghrjTXCbTSDeZU+Z34d0vOgWaFp0jbntyn/g/C/tmNmG8agsH\nicDLZI6OUzAk/MO3mxly/5bDeOUX78MPH98r3rMVrXW7Sibu+auXYU5nAfO6WttmV+66QXOprmu4\n7qWnRtaSNNg5MIbRFrY25XCc2TPvTQeuOWcR3nzpCvz3A9vx5bu2JNob04WgTCabZghpoS2b42uC\nPaq2D4+NB0mbl5+1EM9fOQdDE/GJHMd10UTDOaarFj6fGisDmlDo5PHjA54dK5i4/ndveSTQOskF\nVFuL2ZJsypFjKpGmm8xbXddd4rpuwXXd5a7r3jgVA5sJkCPiDsv+0ye6HjBDEstkfJYCf68eDF2D\noak1Q6qWg96OIGu4c8BjdZgZVj/e8QSIX8QFM0RhgKjEP2Wk1QyRa99l2zHLuVGZjBtDFeXZ1EY6\nosjgYmEcpt9pg18nythSNlNm1/R1BA6PLMzaDpAzNZmVGXKCl8mkCYa866Y1+NObH8fhkUoQDPGD\nkIYRzyjLimltratghnziJxsSz8t2XXH/VCwHX79vG8ZZJwX+GNWjjc9WjFUtdEllH8vnBswHmrfk\nebPV4tAyntk/DAB4ep/31+t6FS9wXTKNzCLL9TAudd3grSXTai/IeOnn78Xv/edDLRmfDMtxcmev\nCWiahndccTIA4It3bcZPWLB0piBghqSbz2XNkCtPmw/A00dR4SizUwxdQ39nMVFUttnSSSq9kMXx\nuZ2oahpA4KxWU2KG7BgYjySB8mBhazBb7KscOaYSOTEtAbItL7dPBUgcqj4zhMQ8ve+kO76h+QKq\niv1ajhvqBOKCnPH0P6nMDInrCEPnkMQMyaYZoj6ObLzKQYws3WQ0TfODIerrLVPLm3UcnJighWlo\nsB1HBEAs2xFBpZJoreuG9sF/V3IE2xoMYd2QstgjWcpkXnpGIKo8W2yevo4ChidriU4/3WePbB8Q\nzCv63XkZVbOYXgFVHa4bDup85+Gd2J8gsOeVVYTf+6c7Ago8f/ZPWGZIJcoMuXB5n/ifymSmWjOE\n9kvHEU5dzPRcKugtF1CVA2Rc/6qzlE57QQUK9LQatuOK4GeOxnDOkl7x/6YD7fmdmgHZEGm7+8lB\nAE3TsLSvHBtMOcqYIYamoWgmdzNznOZKJ2l9ijBD2OukNsK8TKZkRlmQ9D+1hZ+uMs/ZhjyolCNH\nduTBkATERcR5hkfXkmv/aUvbF/ME0k9Wmu5l31UUdNtxQk4zLUpZJsJoMKQeMyT6OY0tKRsiX8c4\nzRCZcimvjdm6yXjGQFx2pGiG32tWNyQuu2HoXku5wFDimiHhMpmfPeVlu3hmiGjbU1Emk1XkT5TJ\npGCGcK2D2bJY93UU4LrASAK1flFvGQCwe3BCOPWCGSLK65pzFIMW0tPEDDHUQZ2hBMaV7biRwO0T\nuwMtJX6LPLXbK/3bPTiO7UfGlPu7f8thrLx+NfYdm8g09pmMsWpUM+T8ZX340psvAsDLZMLXkeaV\ndgWRvvPwTgABA0Wm+8soZey6lAa8TKZk6qF7v8sPII1VZ04rVttxc2ZIk9B1DS870wuq33D/dgxN\n1HD3Mwfx/psfnxEdpyoNlslwxqtp6LElQIPMRjEMDQVdS7S7mi2dDLokeuP59kM7cMf6/aHxJTFD\n6DLomibayXOQXZg/G61Ffilz5MiOPBiSANlpF8wOiRlCr1VBC14mk7XkwdD8MpkYZkhvOXAwx4RD\nlt4okLvJxAUpyMZVZTxEl5QEh05e2+P0BcYq3sJ6xiJPM6OZbjKkYxBnl8iO2JHRJoMhrvq3JQHc\nGtMMqcllMv4gH93hOYNdJROf/90LAEDQYNvJDOE0+yxda/i9XQ8dRTOUAZsN6PWDkcMJpTJ0qrsG\nx8V29NySAdgsM4QbndOBOM2kgbFK7HdUnYue3jesZEJ99IdPAQDefuMjuOpf71WWJlEN+hO70okL\nHg9QdZPRNA1vuniZ+BwImF0EYpPIuhqtwMhkDQeHvd+VnL8jo97r7rK6k4tXJhMsAq0oC5ODIRzE\nDJFLaZLAnem7nj7Y5OiisBQCszmy46Z3PV/8/7On9uE931qL1ev3Y9egWvx9KpG9TCZoPUtQlRwS\nuGaIqVOHliRmRnNrAg9yO46Lv7ttI/7s5sdD44vTmfOOT2XhwOK+jsjnwnZkJZM5soEnmQj5PJMj\nR3bkwZAERNo/KoIZWlpmCNMMSbtAUaCFl9jwsfA2gtQPvpqhza4ck6ivGaJghqTQDJEDJXHbjlct\naBrwi794iX/c8OfZmCG8TCb6PVkob7BJZojcJo9gGjosxwkxQ8hYKkrdZMR3dE1oBYxWPMevncYC\np9lnOQzd92mSch0FQ2iTzJbFmhgeSSUA5NzvPTYh2Edz/daEJLDbbDcZJ2P5XasRlPuErwM5ySrY\njhvRAHJc4DebDwFQP7Oki9SK7k/HA1TdZFSQBVRp7hivtCMYEsybw5Pe3ETdLy45aY7yOyVTF5oh\nP35iD874+M+x6UD6rmcq8Ix0UWovKpghGc6fP4J3P6sOhtiO27D2ieNEBWZzZIemabjt/S8CAPzt\njzeINfTJlB1W2omaaK2brUyG3xemocUmpfizZ/iipEmBF8d1m+rQUvC/XLMdbB8IGHk8AJPEPnOZ\nvbukrxz5XHSWyZkhDeO311+NDX//qtB7uWZIjhzZkQdDEhDRuqAyl1CZTMAMSdYMcTM7LboeHEve\nteW4od7ihCx0ZJmhUa/WVXV+QTeZpDKZ8GdbD40qtxur2OgqmoI50Ew3GU8zxKeKKu7ysxb3hF4n\nZbHTQKUnA/iZHtsN/S5kUIsyGel30DVNZHdHK1bbnVxOsy9JjkUS6Lqm6STSUdTFcWaL4ZNGqJKo\n+kdGKhgcq0LTwpowjbSlleEoGGtTiaC1ePj9gQS2lYoZAgCHR7znUP6IO6FJHT+O91vr/i2HccU/\n3Y2RyRoqliPaWCZB1gzpbGOZyBi79tRWes+gV5p06sIu5XdKBV2UcX7l7q2wHLfpTD5nhshBt36/\n406WOZ2vbRSslPGebz2KMz9+Z5ZhCuTMkNbhTLZ207pK88Z0wZZE0tN+BwjbDJ7guno94fs1dCqT\nSWaGNKUZQswQ28XBoUD/idt6actk5ncnlcnMngTJVKOjaISSokAeDMmRoxHkwZAEyIsS7yZD4K11\nE8tkXFeUi6Sd+HVNE6J0tzyyE/uHgnp4OybTlEUIVNZ6qMcMqSkWadpHPQHVLiYE+KW7tii3m6hZ\n6GDbyXN6Vj0L1w9AyUEVAJjXXcLLz1ooXjfbUSZZQNUNZ1N8x4C6+dg+DVV8hzFDhiesti9unGav\nol3GIamLkoyOgiGcttmyVlNWMumZI2bIwFgFg+NV9HcUQvdxnEByFnDV/ulAQKcOX4ckxoztRgVU\nAYgSGH4uRUMPlbG97YaHI9+ja/DsgZFUAeHvrdk1Ixkmn/7Z09g/NIlnfeZEV0kdnOTlArLDQ2yS\nLGUiacEDUaSVU7UdaFo0KEPgZTJ07yc5UWmQdG4n+R13/uiba1OX5PBnkK8Fh0YmsfL61fjQd5/A\nvZsOA2hMmNZx82BIq1AuGHjvlaeE3htO6KoyFaA1IEtw+8YHtgOQNUPiv88ZJ0aKMplmNUN4Nxl6\n7jUtbAemKZMhG1kei2CGTKP492xEfi1z5MiOPBiSAJntwLP/wgHRg7ZhqnUpKJMJ911PA4OxTj5x\n20a848Y1ALxFzo7JNGVihkiLbryAqvf35od3RT7bsHfI/26SZoiLt19+sqC3xmGy5oTa/TajGaL7\nLYldxC8O/O1mu8nECaiauo4aK40BAkeAl8nwgIKuB5mUg8OTbc/4cyemr1OdFVWBfp804nVzu0oB\nM2SWrNZ0PonMEJ+qPzBaxeBYFXOkrLOp68d9mUycZkgcWyyYv8LLT7mgK52ak+Z1hjK/SY7PV+7e\ngn/42cbE8W4+OILrf7QeH/7Bk4nbTQcoaED3VBwzRG65y0E6I1nKRNKCO0VVn61TsZyIiCkHL5Oh\ntVIWy84K+v4t770MP/zTK0KfzWcC1PuG0gnq8vWLB0N2HPEYLLevC1q5PrRtIPN4c2ZIa3GxVJKV\npNs0FaBucZ0FA7bjploTKeDJmZLEJFUhwgwx9URGbrOtdQv+/Vq1XMEyK+h6ZmYIzQvyWGi9yAOF\nrUV+LXPkyI48GJIA2bhXaX5o7LVKRJQ2tV03c2tdrkcCQFAVea2pzA7JViYTfl2PGfL0/mHsZvTm\nHzy6G5sPeiUvyZohnj7A+cu8tpAyrY9Qsx1RpwogUt7CywvqQdc0v5tMfPCJv91sqYKqhAqgzL8j\nlcmQgGpQJiNf+8V+F5JDI5W2O7m8s05/xmsMJLfWJcr571+6XAR/ZguNk4IhcQwIx3ExUbPRUzJh\nOS52D05E7uFWMEOmW0A1rkVwXIDUiXlWessF4dSQ83zB8j7YjovRDJnfx3Ym6wdQyUaSpkmzuOG+\nbVi/Zyjz92hsVIISxwyJm0OBgBkyllBO1Chon/O6iuK+r1pOLCsE8IK+tC1lwZtnhnjfv+ikflxy\n8tzQZ3y+3xJTkimD36qr1+/HZ1c/DUDdLvgrd6uZjfH79rSrcieldZjTFZ5HSb9mukDrOzFbs9gT\noTKZBLYHD0JQmUzVdmIDL80KqBYYM4QCq56mSbpuMrK9Kyd16DzjEns5GsNsEajPkWMqkQdDEiAv\naLwUggz9oqmzzGh0H1Si4XWT8d5L3VpX00LbEj2RxmUYGh77+CtD36lmKZPx9/M7z1vu7T/mu3xy\nfXxX0P7ytnV7xf/bDo8phcNc1/WzYjp0XcPrLliChYo2a4C32HPKqFzekuQAyNA1+AKqbkJZRvAB\nH7vjuJmNdQqEGZKYoSm11gWASo00Q1iZjGTQdBQNUbLSbie3aAQO15xMzBDvb5IzXzR0vPnSFTAN\nXQg9zpa1OmCGqM+fstenLPC0FLYdHhV6DgSve0BzrCSu2j8dIIaHfB/EXZdTP3YHAEQEVPs6CqJM\nZrLm4BVnL8RpC7pRs526wpUuuKOQPF43Q8etRuC6Lj57xzN4/VcfyPxdmr+HJrwSnjhmSNJc2FEg\nzZB2MEO8fc7tKgoHsGLZKBXitYZKZqAZQl28JpocGwVDyjEaR6s/dCUA4N03PZpqf/IzeMP920PH\n4cj6mAlG6WyZ+GYAzlwU6Ib0lE0RPJwuBEwuPxiSQcied7YrGBpGJi18dvXTERuEl6dQmQwQH3hx\nEm2fFOMSmliuCIKauoYa7yaTkHyTS4dls5czQ2ZLgmQmIA8s5ciRHXkwJAGyc8+DGWQIlgtG4BQq\nNUO8v1xANUvklk9sFmvPCngLU6kQ/gmzCqj2dxbwoatPC+1XBp9beVtLvoCNVix8/pebFMfwz8Pf\n1tS1WI0Jy3FChoF8mbJcN13zSpniusnI4I7bP/zsaZz1iTsztYAU90aMZgjV1QOBw8ODIaprv8hn\nh7S7CwFvidmfRTMkQSuHYDMBW+r60GxJ0kwBZcNr7JkbGK1gyKfZ07Ny7lKPETVWtdFRCDuxLdEM\n8Q8/45ghdX5neby9HQWR4Z2s2SgXDPH8JNWmy5DLb2Sk6X7UDLIEpGVQoJRKNbqKamc/jjECeM9l\nZ9FoCzNk1P995jJmSKXmRNrbcpRMQ1wTWs+abfs7UbXQUTBiSwhp7gTSlfHFPYOqa5iVRWiz5EWO\n1mBedwnb/+laPPQ3L8fZS3oxMs3MkJrl/cYdfvAyS4Cb3xeGruPp/cO44f7t+OZvd4S2CzFD/G4y\n8vscaW2fOIhgi+2I50DXPWYIzUuVlAKq/C+hxuzZ3IFvHfJLmSNHduTBkAS88ov3hRZZm9H+qqzU\nQdM8cSiV8xxohgTBkCwZolAwRFIr1zUtYoRmElD1W5rRMbYeGsWqv1kd6fbCF7EhVk8tO+kPbDmi\nPAYQZBn0hJrYmu2G2kQ2s5Druvd7JYlzhctkguv2vUc9bZTB8fQCi0FHj/D7nUUTh0YmUbMdkcWk\nLCkZM67rCpr2h15+mvgutW7tiHGIWoWV8zrxxouW4opV83D6ou7U3ws0Q+K3cVnWp8jU6WcDCiZl\nzoJ755LP3IUL/+GXAAKH9rxlveJz+bdMqhFPixmrGaKYD7ljKs8fvWVTBJAm/GCIoeuwMrY0rRc8\npHGphJVbgclqE8EQf1056t87nTEMEB7AVKFcMBpuA5uEcd/5mdNZFPuv2I4ogVPBY4Z429I90ooy\nGZllxTGXMdzSsAbiAhyjCt2V7KzBnBnSDmiahiV9HejrKOBohrW6HaDWs40wQ/h9UWBzV01KbPHg\nsqYF81xc8NXr2JV6GBHwIDc9B8fGazgyWhXzT7JmiD/P+lODfP/bjouJqo0frN2D/axbTY7GQMmZ\nnGWTI0d25MGQOjjAJmlS59Y0TSxAJPhpxDAeeDeZRpwWeWLbPzQRYobIbImsmiGeAKx3Dj99ah8c\nF7j1sd2x3znGmCHysVX2pCwsaiZkwi3HCbULbmZO91rrxneTAcJ0Z24M95Y9dsSh4eytGeUF/2Vn\nLsCGvcOYrDmCxUMOT0HXxX1D9w5v60gORjmBgt4KaJqGL7/lYnz3fZdna62bokyG1y1TpqmZzPlM\nQrHO+ZBjf8q8oOWo/OzrLdEMoUDc9BhBccGQb/52R6SWn28ij7evoyAc18majY6C4QeLHMEMiXOA\n+dRbLxhCc2S7bMZmxEFpHjrmO3dxzJCSaeDdL1oZEQ8lFA1dZKtbCQrk9pYL4n+PGZJQJlMINEMo\n6Ny0gGrVTgwS67qGf/v9CwGka7FL9+4Vq+aF3lcxQ5K6JCn3HdN2PUdrcMr8LuwYGG96Hm0Gf/gN\nT9ye5idV5704hDVDovfIeNWCZTuh8hTXDeyDOAae47pNrQkmEwjn3Zt+/ewhdBZNaFpyNxm5y5k8\n39YcB3c/e7Dh8eUIg+zLPBiSI0d25MGQOuAOvxdp96PxrEwG8BY0FTOEDLYtB0dFKUXckq2i88oG\n1Ofv3CQMSkNRHJ+FGeL4mQNagMm5k+u5bdfFWYt7sKSvHGRuqzYellT1VedPYyUHxdD12DKZmh1u\nF8wn9Ts+9OLU5wV4QQkqk0mzNvBMTq8vcnk4g8BiXDeZJX0BXVswQ6xAjMzQNNgOlL8psX7i6uKn\nGzoL9MWBZ6c++fpzceHyPpznl40c7xDBnRjniHQf+joL+NTrzwEQzUCbGVoxxkFW7Z9qGCKDGL0O\nX/zV5tBr7rDIdj8vk5moec4utZqkZ+b3LvH0jZJKH+o5ne0OxjXa0naQtfqlVsK9CYLGn3z9uRHx\nUELB1NpSjjZp2SiaOkoFXVzHimXXLZOxHNdz6PwATSs0Q5KYIUAQWB5M0UKZ7svfu3Q5Lj6pH0v9\neXtUEQzJOnbK8CexZ3I0jtMWdqNqOdjFxN2nC6TXkyUww20eU1Hid87f/QLv/fZa2MxGcRGsP+v3\nqoWamy+TCZic8nNg6hrKppGKGRInoGrZbqLwco5soIB0nSrRHDlyKJA/NnXA1xKbRdoDZogfDNHU\nTk2vTyd8YOsRsTjELZSqt2WmwZGxaogZIiOTgKrrlcnQfkjTQa7ndv3WZ1zg8PofPRXZTuUU01hp\nUTb0+PO3bEcs8N53gs9Omd+l+EY8dA3Ye3QCj2wfjDWSQmUy7LpRx49Dw+mpmyRWJjuk3Bgpy8wQ\nQ4emhctkQpRZ/1qU21wm0ygCzZD4bXh26vzlfbjtA1e2vexnqkDOTZxQKD0rfR0F0VJXzuLFMcqy\nIGuXqlbDjGGGAIrAKg+GsGe9q2igr6OAY+M1rLx+tddm29QFk4wykFSTn3TP1QsuZWHPZcXWQyN4\n+Rd+I16n0asgPLYzEKcmNkNPnXKYOBQMvS1BH9IHIVHUyZqNvUcn6pbJAN7aVGsRM2S8Zot7IQ7z\nujyh7jTBEIsFsy9c3i+cP9kJLBd0TGYsPwq6h+XmVjtw8Yp+AMC9mw5N80gaK5PR6zBDAODeTYdD\nbBPHDRJH77rpUWU3naQS4TSgwIzXTUYKhhh63WdB1gyRbVnLSS6vy5ENgqWeM0Ny5MiMfCaqA76o\nOb7GBsA1Q3xqWgzdnd6pWE6olZgKqmCCHE2fqFpiTKoMaJZF2HE8R9XQg0AFEDVUiRHTUzaFhsoz\n+4dTjV/WDDF1PaFMxpWMAcYSyXin6qyUKa4elQcqOAWVshXDGdp52uze4OC/UUnWDDE0IaAZUKmD\n79I4yjPUYKBTS3L4ms1OzWQUGI1YhuO4GPCdsP7OYmzG0NT1UMavEUx3a92AGRI9DzlQxAM/9Lys\n+7tr8MjfvkKUpxHKRQOmocOyg+5O5GzI15G/qsfMaGcw5NEdR0Ovs7DLdvq6A4DnwBu6Ju6brCga\nelvOs2J5JTEl09Mkef/Nj2PbkTHsPToR+x1aIys1R6xP+47Fb18PNz+yExv3DsWWEBE6S+rgvgq0\ndpm6ju6SidGKBdd18dyhUSxg3c9WzuuKZMMP1NE7kFup52gtTl/Ug/OX9eEHa/dM91BEgK4eK4vW\nzA9dfXrofRUzhMBtO14mA0C5hjTbpaXAu8lIz1DB0FAuGIllMnKXMzlRlDNDWgtKzM4ORbYcOaYW\n+UxUB3xRs53A8K+oymQUTiHZ7FUrMATjMsGq78trRUfRTGSGZMky02JJCzAZjXI2l7RFiqYunBtV\nRF91aLl8RNfiNRK8Mhk1MyTrop6mZCCOGUJDyCKUx1lDHIaCGfLFu7zSge6S6ZXJuG6kDR0QCKy2\nWzOkUdBYkyjBzYq4zWQExqJ37/Cg0Bd+tQlbDo5icW8Z3SUztg2v0ZIymelmhqhb6wLR0hm+Dc1f\nfZ0FdJdM9HaEM/1l0xCthyuWg6Khi2BpUmlWvTKGqu193o7LdVBik207PBazZRQ7WDBk58A4estm\nw6VPBUNveZnMzoExbNg7hHLBY4Y4LnD3s142fm9CcIPa7vKEwFN7hhoqldk5MIa//fEGDIxVQ0EK\nFShwloaFwhMMXSUTjuvpIWzcN4xLT54jtlu1oAuTNUc86w9vG8Dl/3Q3frpuX+y+qcQrZ4a0D793\n6XI8s38YG2JKRqYKccFaGTR9RbrPJUzifC51XTfEolXZfY7bXOkkLwOVmSGGTsGQ+GcrYCyGk21i\nzI4rbJwczYMHnXPkyJEN+UxUB9yg5LTDQDMkoKYpmSH+glCxbLGvuJatKvteDgI4IRaBIhiSpR2s\n6+1DtDv0FcN5ZtV1Xfxm82Fo8EX5/HNQRfRVDoolBW6oVaYKXpm1GKsWAAAgAElEQVSMWjMkK/Uv\na8KBZ11ofFmMdcdxlYaMrmCGEPo7i36ZjFpzRDBDCjPzMQ00Q+K3aVbEbSZDFoTlWbJvPrgDz+wf\nxllLegDEi4x6z0NzxksjLbtbibhzA6JMNb6NfF/IzJCOouEHmb3AZKmgx+rU8P3WmwIFY6LF1+s7\nD+3Ad9fsCr2XRcfg6FgtpINRr0VwEgqGhprtaa2svH41vv3Qjob3RXjp5+/F+r1DKJl6Jno7zWPe\nGugKnZxGOoD89rlAp4q3z1WBWDVp5nE+/wqnwrJxaGQSK1mJ5kpfDJmSIc/6DMm1OwZj903OSWmG\nzuOzAW+4cCkA4DebD0/rOOj5rVeiZscEsOUyGR5gr0maIdzekG3KVpROUseYsaqFsYqFN1y4FB95\n5RneOP3nJJkZAn8MWugvoR2aRicy+LyVI0eObMhX5zqwQkZ24NjRRF4WokVqZgi9Vak5YoHMUiYj\nBzxsx2XMkOjPlyUYIgRU/WOM+UEQvuj+YK3XWebJ3ce8OnRJDG5Rb5CdUx1Z1gyRmSHDkzVsPjgC\ngMpk1N1ksvotaZgkvMsML5MhQzcNvZpgxZTJ8HHIxjAFouyYANdUdZNpFGnKZJql6s5kkJMnRCFZ\nlmzZnA5sPTSKs5d4bXUvPqkfJ83txF9ec0ZoH3qM1lAWyKr9Uw0y4FVzj2zw8m3kzH5BimCWC7p4\nb7RioWQa4hmTj8WPc2y8il89Hd+lIGs3kLT4xG0bcVDqQDUwmt7hr1gOulkr3SMZSmxkFE1PM4Qy\n5Tfcv63hfcnwymTSmw4071UtB5bjCM2gRpwhzp7praOn0pGBGULzr+kzIOl7NdsNCVjP8Vv2/s/D\nOwEEuje1hGeY7reiMTPn8dmA/s4iOotGKn2YdoL0xpKCBEB8BzA+B7oIB3YtKTEXEveX1uBWlE6S\nXtHwRA2jFRtdJVPM2bqm1W3fHRFQ9cfyirMXeWNmtmyO5nHdS08FAKxa0D3NI8mR4/hDHgypA97r\nnetCRLrJxDBDaEGo2GnKZKLvcQfb9MUWkzRDkujjqm0NXYOua9C0IIPGjdS9xwLad8FkzBCTDFoX\nJ83tjB1PVDMkLBj5thsexjVfvE8ct6DoJkPtjLMgzfYvP2uh+J8bGmTIZBH5I/0VGdy/k50973O/\nta6SGeL936huQLtB55tUmuW4s1fQy2tLrYmyC2JUdRQMbD44CstxRTCkp1zAfR+9Cs87aU5oH3Gt\npp/ZP4zP3flsKgHO6S6ToedUrRnC55IJPP+zd4nXz18pXQspK9pRMMTzMFaxUC7ogWgv8zUs28H2\nI4GTfHS8hj/+9lrsOKIuUWmHlkbc7zSQIaBRtcPBkL94xekJWyejYOjYcnAEv/P/PwQAYo5uBbxu\nMsGc9OpzF+N/r1O3+AWYVpLloGY5QfvRBoIhe5g2SV9Cpx3AC1bqWlpmiN/NiwVDRnzNKB7E3jfk\nHf8zq58BwMSDE3R/RJlMzgxpK7jA+3ShnJKNRPOXHKyQ2aX8GeHzq+sC5y3rFa/lNaQVa0LJNFAu\n6Pj3X2/FkdEKTF9EH6AyGb1ONxnvL9lilLsT5aWOG8uSzpEd15y7GDv++bWii1aOHDnSI1+dfcQZ\nszzjw5khtChQhiyu9p9rhpARHrcA1BNQLZm6VyaTpBmSpUyGtQrmLT65s8APUWQdCui8a7aDW6+7\nAv2dBaV4a6DSHxaapeu9Ya9HM3b9IA93iMhOaCS7kcYI+J1LluOpT12Ds5f0htgwZLxOZGiRafuB\npeg4mAaIQile1zS4PBjCtp/5zJCUZTKzMxYCwHM6B8dqcN1A5JMzHk5dkNwFKW7eeNN/PIiv3ftc\nKhbDdAuoUrBO1X2Jn9vP1+8X/7/tspPQKXUDkYOFpYIh5jiPGaKLdrw8ALftyFjISSZQRxYZ7WCG\n8MDpyfM68cQnXokVczuEiG4aVC0v+0r4i1eckbB1MoqGjqPjgWNo+47HZ1c/jd1NtiCt+vothOte\ndiouXalu8QuE6ds1x0WX/7tXreyO0J6jE3jx6fNxyx9fhre84KTEbTVNQ2fRTMXw4wkGGu+w71hz\nFswfvegUAEEgj+b876/drXSAH9hyBO+4cU1kPzlaj5kQDKHnol4ixRFM0PD7hmQjcHvOkspklvR1\n4F9/70Jvf9KU1qrSyd5yQcyXOwfHBduKmCFJDBhXWvtpfaJ53nacpjup5ciRI0crcMKuzgeHJ0MB\nkLg5OY4Z8r9/+kL88/93vghWGLqmDHLwY4z7C2TcAuAq1hXuQJcKhscMoSyWtHCWzPhOLSrwEgZe\ncjPGggCyM08lAUUWDFnUW8Yrz14UaRsKIBK4ob/yMKu2R6EOl8lQRqGRYEi67/SWCygYWkicrNIA\nM8R21MfkARLu7L3w1HlinJwuqiu2n7nBEO9vHBvJdV24TYq4zXRM1Gx8d80uXP2F32DM19zh2f2F\nPcm6BqahnjfIAE3D9JJV+6caZy3uwbL+DvxiY7Q0Ja67lcyQAaLMsr6OQlDCV7FQZkwRPs9REOr/\nvvosXHv+YvH+SEw3KBHsbaEhfowFHlwXmNNVxLyuUqZSl6rloKvUmmddDiyNTFrYcmgUN9y/HR+4\n5XHx/qHhSTy49UimfY9WrBDLYW5nciYy3E2muTKZkYka+joKeOGp85VMOxkdRSNTmYyha6ybmPeb\nlgtehvyacxZhxdxOXHv+YhHk4uszlXty/OypQFg17ybTXvTOgGDIaYu8EoV6Ha0CzRCpTIbZYY7r\nhoLJYQFV7y89ArJN2arSyV7Gvlo+pyPYr66hbBpYv3cI98S0NJZLZOl/3pI+L5PJkSPHTMAJGQzZ\ndngUl/3j3bjxge3ivTinw3Ic36lzva4q/tx+yvyuUGbKK3eIfp/vdtQ3rrJohsxhhmbRSGaGZA2G\n2E7AZuD7IqcOCDMseIcCMhj/4LKTve8bOqpKZojj7ycIGvH3CV6nAVcqk4mOIS1ULI04mLqGwbGq\n6AhAzlUWzRDHcZWirYamDoZ85JozvWP7QociU8S2J0OoHh18uiCYIbH3s/c3y29xvGLbkTF839fX\n6WAimPUoq0VDV7ayJqTRE5FV+6cauq5h1YIuHBqJMkO4rBEPiqlYbTJzam5nUWgyjFVslAtGUCbD\n5koKbpy7tBfzuwNWzmhF7ZCQwyR39mkG3AlzETy3wxmcs5rtCrbMWYt7mhqP3KWBaykcYTomv//1\nh/AH//1IqnIswoGhyZBjP7e7TjCkELS4ddxAZFJeA9Kg5jipgiCEjjodLwh8TY2UyZg6nv30a/Bf\n77wUgBfgPORrw3CRW9W4OBskZ4a0F/0Zn7dWoq+jgD+84mQh6kv3nOuqS0HcmDIZfg9ZUrAgJKAq\nzfntKJMBwro8H3/t2Xj+KXNxwfI+XP/qszC/x3vu333To8rvevYyY/r6fwNmiJuprDtHjhw52oUT\ncnU+POIZMnduOCDei/M5qraLU/7mDnzwu0/E6kIA3qKjXPSYrCgFGdIEQ15yxgIAwEKmmF8q6D4z\nRK0Z4jFH1OehwmjFCpgtzBHhToQmOfNUJuO4Lpb0lfG3154NwNO3UBm39BY5P3GdJyhryJkhcSrk\naZDlK6ah46k9Q/jgd5/AgaFJHPMNqiytdWuOoxS0DTM9gv/pOsztKmJwrKrUDCFjvKeOUOB0oV6Z\nTCCeO1Ujml7QvELdf/o6CnUDQfO7S9h8cAR3McHP7z+6W/yfpEVAmO4yGcAL2qrEQrmty0en1tcJ\nPz9zu4siODpWpTKZ+GBI0dRD12CUMUP2HpvAl+7ajB1HxkSHF5rLdg+OY19Ca9g0CAVD/KF5weP0\nEzKVn/zk/S/C998Xr8GRBnK3r4GxqmD8EeMBAHYMeNciDXtild9VpWo7Ice+q5jMeKBt6fgdTZTJ\nWLa6a1ccOgpGKgeZ1lSdBUPoezIzr1QI1kFDU8/vBP7dXDOkvZjOMhkqoZY7GH3k1nVY9bE7ItvH\ndZPhXZpqjhOyqdTMkOh86L2Gv//m1gRiNp65qAedRRPdJRO3f+BKnCMFnlXwRF7ZG/7/NB9M1mxh\nHz7vpP6mxpkjR44czeCEXJ2pLpsvnHERaiqT+dlT+2N1IQCIriAy+FsUZIhjB9O2b33BCnz97ZcA\nABawBcdjfvAsllRj72uKpMEj2wbw6I6jWLf7mL+v4Ly4vglfzEpMQLXmi/2RU2MaeqikiCCX9Jhx\nwRC/njykGeL/bUSAM4sRwI3Y/UMTYmyZusnYbqwmSHCc4Peic1rQXcLhkYpSXZ7ulxkbDPFPJ+7Z\nme6Wr1MNIarsZ837O+szehb2llCzXbz322tF8I0r9KdhhsyEoNPcriL2KgIKfPz8NlA5tPJ7PSVT\nElA1lJnQih0EQ0xFMBEAXvTPv8aX7tqCj9y6TmhmVC0HQ+M1vPhz9+CPvqnObqbB7ev2ia4tQOCo\nFE0tUylI1XZQMHVctKIffSnunSQUzfC1rFqOCNapGDNxLJrwPr0H/stvuSjktNV7voUGh/97dBbi\ny2TWbB/EQ6x9royaHe44Vg8128Hdzx4KCdnyYBCBgo5ey1AjNF6Z0REneqwqfw0zQ/IymXaiq5RO\nH6YdcHz9NWI9UUn0jx7fKz4Pba/oHgeE75ea5YbKDMOaIWEmqXw/0utml97LV3laQMcmooHuq85c\nmHgMN4YZMrerCEPXcGS0Ip6Zf3jjec0NNEeOHDmawAkZDCFwo0h26F55jtf+i0fjuWaIDF3TIsbQ\nDx/bg62HRsVrMjiTNBYA4LxlfYJqz43Ooh/siGWGmHos9XisYuHHT+wRdOnHdx0LfS7va8wfa41l\n73ims2q5Iee+YOjK9oJySY/szNDlrFgeM4TXzJKR3ciCzk/nP9/+vMRteVCJCzFm0QyR9U4Icd1k\n6JALe0s4NFIRhg535qisimtQzCTQbxlHsZezV7MdIhjiP7tp6Pw82EnOYW85cITTlL3NhKBTXOCH\njz/EDFGMVb5emqaJ4OhYxUbJVHeTIY2foqGHGG6qLPGczgIO+kKvVcvB5kOezsOzB6J6D2ngui4+\n9N0nRHcReg/w5pUsbZNlYdJmoLr3KAjEH1daX3hpJMfX7t0qOvVYjovXnr8Eb7xoWaaSDxIUfmLX\nUQDAkn4v26wKhvz+1x/CW294OHZfluMog85xeIW/ju8f8n7zDXuHcMGnfilKIgkhzRCpTEZmhpi6\nLkTA+Zqv0sfhArrFvEymrSgXjFSdg9oBSpQJ1oM0DjkA5zjqOZvfIxv2DYW+x+cSwfyISS61qnTy\nIl/bSW4ZDgAXrujH5avm4qIValaHFyCKvm/oGhb2lHBwuCKuw4liI+TIkWNm4oRcnWlRCTNDvL+X\nnOxN/pRF4zoYvJuMDNOIZos+cus6AAHzYEwwQ5I1FuIWsJJp+G1YPSMyqhliRFTFCT96Yi8+/P11\nuOH+bcrvyiwTMlQnWZa6YOhC7LPmZzGDz9RZUBG4IaFWI7x40zgma149OWeG0BAbWSj573Tu0r7E\nbblxvfuo5zCsmNuRybCqxdC3+W/JDR263gu6SxgYq4ggE99+bpfnRPDuJDMJQWBL/XkcFXi2gsqr\niBmS5rR5GRw9E1VbTY2Ow0wIOs2JEdHkosr1NEP4+C9Y3udv5z0nVdvxBVS9z7kTyjtc8WC1Kpt5\n6sJu8azVbAdHM3R7UUHVTYFGVjB0ZRvfwbEq7lWIDlYsp2UOs+peUHWRKQlNligzZHiyhs/duQl/\n4AcnuMZUFpZDT7mAnpIpylKf73eeqVoOntk/rPxOHKPGtl1lOWIcXnK6V25K50cMnvu3HA7vlzll\nsoCqihlC37HZ8ymPeffgOG5+ZJd4Xc6DIW1FZ9HwhNgbEOZtFo4voK5pXqmMnEgZlOaZOD0t/vyv\n2T6I677zmHjNy3bFnK8oG0zaf1asqtMNrbNoxrYqj2iGsOTWwt4yDg5PhoKQOXLkyDFdOCFXZzJg\nuCFLi8nVZy/EGy9aio++yhO45Aurt+Cp92loauosEDhHFBiI6yZTT/SKymBo8THlbjK+pogKZAhT\nKYu8+MivaawVdo0KPvW6Zjuo2Q6K7PgFQ4frKoS8pMi/zAwJaPC22A+huda6LKhSZ6HlYyZmyPL+\nzmzMEFst7BfuJsM1Q7y/fZ1FuG5gePPtP/WGc/Dlt1yEC5bPzHpaOod6ZTLTqWUxlaDOIaQZkua8\neaCLO+mENBqTrRLLawZL+sJdcz7zJo/2zLOZ/DlTGb/8+fjwK722sjxoUmKaIHxfNB+WTCO0Pe/w\nsqjXu86OH8il7x0d95yURq/diKLkItAMUeso/cl31uJdNz0aKU2pSVoczeC+zYcj7+3257bQnCSx\nIDjoulKL3prtiOubVf9iSX8Z41UbPWUTpy/0Om7ccP82vObL92PtjsHI9jsH1O1/axmZIdSdZ6xO\ndw+LBefrMUOIfWQ5bigQLK99vJPQ/R+9KlN5T47soBKVLOt2q+AxQ4JxULkO6enQPMO3B6Lzjvz8\n72DPwZ6jEyJZd825HuMpToOtdQKqHuOPWknLKDJRfRmyZogm/mqiPDgo8TwxbIQcOXLMTJyQq7OK\nzkrq3mXTwJffcjEu8Kl/tVCW1o2dtHVdi3UKZc2H+O4byXT3ounRrimI0yEZaWXTiA3I7PUNYTof\n2aCUM7V0jYgZctbiHpExq/rBEO78U2BGXhiFkSlrhjAqORBk7vg4hIBqQ611g//raY5w4UZiBC3s\nLWXTDJH0ToJx8Gx4VByWDDgSe+T2ck+5gDdetCz1GKYaWkxW6uhYFZbtxCrmz1Yc8w1ecp7SnPZC\nFgwhx5ln2tIwQ2aCgOrZS3rF/++84mS8/fKT8apzF4WDFmxuUD3TpkJTp4eVDPHWunECqvxZ3jU4\nLujiNI6aHZQZVmxHOPr1mA5x2eYRBaOC6vmpU5QMKjs5xhyk8aqFoYlaJkc/CX/84lWR96hUhAdD\nignMEGLG0T1oszkuaznPkr4OAB7jh641lWruUjBWaB6WYdnqeTYOVGI46gfb44qWgqC9LhzS7Ue8\nEtc4ZogVYYaE987XxxVzO1OPOUdjKEvipVMJXkJdLhhYs30QK69fjTF/LLK4tBMTBKgXDD1/WR+e\n+8dr8apzvRbiqu5a/HUrSicf/8Qr8e0/ukz5WdFUs98Ar1SHz/NBcstLGFQtZ0awGnPkyJHjhAyG\nqIVOw5F0Mkr5RF+zndhJ29Q1ZZAFiJY5xNWRx/WGLzAD1HZcQZeUM1bFhNa6JG5IDomcpZINTDKA\nKzUH87tL+OkHrxTGXc1yULXDmiFkHMvBEDnyT4ujZYevN2VJjdDiqYW2yQJ+DesttC84Jch6UDZv\nfncJVctJ3aq4JumdqI7NKbD0PgVDyKk6ngIHOguG3LvpEP7q1nWYrNm4+NO/wqd+uvGEK5MhZ6ic\nIWvOFfnpmaiwOcf2mWAf+/F6HBiKtq4FuOGbecgtw/I5HeJ/mp9kzQw+l9YTUKXnY05XEAwpFXSl\nYGDVD9h6wZBgf0/tGcIvNnpdeui3obFpms8MSVEmMzxZw2l/+3N8g7ViJ6gYFeFuMlFHgebto2MB\nq+Svb33KP6+6w0kF3vadcGDIZ4YoSvdUzAm6VnTtLMcVwaaszJDFfjnY2Yt7BcOQoLpGD249guu+\n81goKOL6ndSylMmQWPq4FOzRpCI2Ei0uGAEzZMNer4RHFrOla2DbycyQLOK5OZqHEC+d4mCICGz4\nc1ZH0cAWphWnGlMca7JeULajaIRsimA+DG8XZ0s2grldxVC7eI6kYEi0tW5QJuNpzDnMPmx6mDly\n5MjRME7IYIgqGCEcN39WJseWUy4rlp25mwwQDYbUY4bIh/jWu1+Aa85ZhN6OAhzXFWOSmSGk6aEC\nZf7I0ZJJLHJbS9rPpGWjt8NEwdCDYIjtomZJzBBdE59xBPRjPbSdrKZO41OVyTTSTUbLEAx5z5Wr\n8Nd+WRQFQ+Z1exoIadvrxmUs48pkyEig33BEUSYz0yHqlR3gXTc9iv99bI8w+n66bn+sYv5sBD9H\n+blMQhcTx7UEeyHMRrtv82Hc8sgufOK2Dcp9tEosrxlomoYvvfkiAMBELSjFU5WzAOqxqlhhc7sC\nLZKSaSjZSBTglZkhALBjwGNh0Dho7uzy27se8TO2EzU7dl7+zSav5ORHT+yJfKYsk/H/xgVD6P4Y\nZMwQEhflpRWtwgt8jQ5iwfDfhFiLKj0RWQ/FdgJdpKydUWhdXdLfEQlmfOmuLQDC6+JX79mKOzce\nwNNMU4Sej2xlMsQMSS6TIeZIT6kQYr387bVni/aihIIok3HCzBCJxUVr4blLe5Gj/UhTJrN+zxD2\nHFWXYDUKObDRqQgcVKV5II1miLfP8H7ktYUepXaVydRD0dQj58bHwI/Py54peWjPgLUrR44cOU7I\nYEgSM0RjDAZD10IGYcVyYidtinSr0NdRDBn6Kl2Pldevxsd+vN47tnSMF542H//1zktFSz8aU6SW\nWU9oEczq5L2/YYNBztSSITc6aaHHNyhpoRaaISzDR7XnMp1c1gahv0FHHMpM+tlkhYBqI1RPHkCp\nXyaj4c3PXwEAODJSRbmgi3NOm2Xy2gJHHyd+WVVlRWSsj0xGmTEzHXRZ+T037meYNS1eMX82ghvA\nQZlMuvMmPQtLekYBX6Qx5pkmzIQyGQAie0g0dVMPiypzo1kVOAyVyRAzhAmzlgt6UCbj7+rn6/eL\nVqxFQ4/MY3P971tCJ8oPhpCWBHOSJy31s05lHCRozCEzQy5Y3ocv/r4XFCoYarYgXSfOSunzx0md\nblqJH1x3RciJqtoOXvr5e1C1HPH+I9ujuh2yU2kxZmSj2iadRSNSYrN/aBITVVvpxPKSB7qWcsAr\nCaTZQJpUcesjlSl2lYwQ6+VShVYC12ngtoT8W9Pz/HevOyf1eHM0Dpp3k9bs13/1Abzqi/e19Liy\nCKhslwGB/eW6Lq7+wr344WNeYFWesuVgiBx0lIMh9QRU270mFA09xGSUxxC3BlIJYd5NJkeOHDMB\nJ2QwRMUMkdW5Ac+Y5QZa1XJiI+1xWUDAC1IQ0wCIBmPIaHpwq2fUx61fpEtCBj0ZpMv6O/zjxLNT\ngpa4Tuh1MMbwQWk/QxM19HYU/HP0S4cUmiEF1vVBtR9yfmTBL3JeBDNEoavRiOG9uC9wXNLYzmRk\nTNRsdJdMYdCkZ4Y4KNTpJlNQaCJ0RDRDjh+jQFWvPMrKfWaKkz4V4MGQkn/vpP0p//4N5wKIPqOA\nN1cF9eXq7wdBp0xDbjnoGaKSg2aYIfSocMeiZIa7yYxM1vCnNz+Oe3zmRsHQIlokFTvQuwDAhA29\nICQvD4lzomgOGByLsjbkLhE/+tMX4srT5/vn45UJya2n6Zz4d0k7Jq4rTyO476+vws///MUAgN6O\nsG7VzoFxHJuoivn6kKJ1pjz3cWZIVs2QP7/6dLzugiV4/YVLI2UygMewUZXq/PrZg/iPe7YCCJgX\nWZghpqGjXNAxWvFYMXQPfn/t7tB6PVa1UC7o3vbMAe1StDXnmiFhgeDw2kfXtpB3kZkSdPrPdJxm\nCAUfx2I+//ETe/BXt67LXN5EP7vM9uQg4fqK5eC5w2P4qn9Py+u9bOvI5SnlopwAi5YNemOamjWh\nFFMms+foOCaqlsQMobJnzW9P7eTdZHLkyDEjcEKu0txoee1X7seR0YqSVljQ9ZBBWLEa0wzRoOE8\n1t5V3m5Yyi7GOY/UsWbSslE0dWH43/6BF+GnH7gSutTRpsIynUIDhJgh0oJPBh4dmgzPoYka+vxg\nCNcFqUmaIWTgBroHNq77zmOidSKdkykt3nKZjKkoJSllKDsgvP7CpeL/NAstd7q6SqYwrOIcpIPD\nk/jU7RuFIZCmTIY7EPTbCQFV0kyZbo82A+jUuB32wVueEJ8FZTJTPbKpB90vQNBCM+1PKTQIFGUy\ntuPWDSoF5QPTe6Gfd/IcrJjbgb94hd8JxghrhlTqaYYonn0guI5FqZsMaToAnlGu+fRrDnJCaBw0\nn3eWolnk8Yr6WSfnavvhsQjzbdvhsdA4VRpBcuCZNuGBdurG88+/c75yDI3gpHmdQtiWC9ESSI8G\niK4H8vgAXzPECJiTQPqSsMV9ZXz1bc9Dd8kM3afXnON1xRietJTX/wdr9+Dzv9jkHd8OB9DTYtX8\nbqzb47XU5UzPR1kXm5FJS4it8oCaquSBnlfLdkOB4OGJYB13HFd078kaOMrRGOS1VMbWw6PK9wkf\n/v46/O9je0KdjJ7ZP4x//vmzeHqfugU0wJkh4XFw0Bwg2xPynE5zBtlcUZF8qYxGEqQntFIzJAlU\nJjNZs3HLI7vgul7w98p/uQc/eXKf8via5s313vMzNePMkSNHjiSckKs0N9A37hvGHev3KyflgikH\nQ+zkMpmYjIKuAy87c4F4XbMdjEzW8E93PIPJmo2hiXDdeWwwhMpkqnZokZzXXcL5y/u8Mhp/Fdw1\nMI4zP34nbl272ztnfzHedGAEb/jqA0KY7qtvu1jsGwjaAHNmSH8nMUNIQNVFVe4mo5MC/xhWXr8a\nNz6wHXduPCAyIGTAxrXWHRXBkOgtmUWQksDHlmahNXRN6BN0FU10FKOaMRyfu3MTvvnbHfjV075A\no+PElMnw+ylaukMZ6tXr93vbH0cZEhVFNxCO05hI7vFzTo2CP4+iTAbpzlt0YnKijqkXDEm+jiID\n3aJOJI2iu2Ti/o++XLR/pLI+As8gqgKUXEsiJKTs/y0aWqibDA/2khMhl+NVbQeO4wrngJxhCl7x\nMplKTJkMzQFjVRsbJKfoOeZgFQw9RAsPdJQkvQCHxhIOtK+Y24H+FjJDOOSOZoD3e9C9U1HMczIz\nxGLMEMBbO4h5kgV8Hy8+w1sXRyZriVoPP35ijwhEZW1Re8Wp8/Ck37mGn1O5YMCyHRwZrWCsEgRD\nOFTvBcwQJ2RLfPSHT4n/v3rPVnziJ57Gz3QHKU8ULPYDitJE17EAACAASURBVCQULINK0OZ3Jz9j\n3B57y389jP/8zXO49iv3RxheBFkkXhUgpOdsvJqc+KLAWXfJxIq5HZE5SWaKBLpdLizbE9recWQs\nWDPafOsVDR2uC3xm9dP42I/X495Nh0NzPj8/UfYM75kYqVj4zkM7Qp/lyJEjx3TghFylZUrheNVW\n0gpNXQtRLiu1BGaIocV2iQE0nLGoR7yq2Q6+8MvN+Pp92/Czp/YrgiHqvVDpwWTNUQYIdOZ8bDk0\nAgC4w3eyaTE+MDzpd1k4gKKh43UXLBXjB4LAg2V7EX7ODCG6b9W2Pc0Q5nyRwfebzR5l/X8e2hka\nG103Oo5cJkMZE15qQgtpOaNYH98vP3Y9kJHUVTLQUSBmiDrLRHXlh0Y8A8uyXWWZTFhANcoMiTNu\njgcEYpaqz8LClrMdpEEBBFTntD9lgWWaAaBqMR0Cprgftz9iP8w0p8vQtRCTggd5VM+koXj2OYpm\nuJsMZ1yUpGCIaANuhR1Wep6FlkSVB0PUwWzupO8/Fna09rHXMgOAfg+ZCUjaJKG1xbIzi5JmgarU\nsGo5icwQHjhYef1qr30o865ed8FSrJzflXksmqbhxafPx0Ur+nHWYm9dHJm0EksSP/z9dag1IKAK\nAL3lAqq29xzx39hz4p7BpZ+5CweGJpUlMZzxReBrmCy6+2c3P4bRioXb1+2LbJ+jvZjXVUS5oGPP\nUXUwhMpk4jqjEIaZKDKfU+WSOIKseyGXsgBBQDTKDJH25d9OJVOHqesREeOIZghj2j53eAy3PLIL\n1/3PY3UD6K0C2YS3PLJLjIPPJfzwQkBVD4Lamw+Ohs4jR44cOaYDM8t6niLIwZCq5SgXj4KhS91k\nkgVUKzUHn7p9I3YOjIU+0zXgtIXd4vWR0apgFHSXjEgwJE50ytA9BsX31+5WinQZmhbbEUE2yD3N\nD57F9Fsm+ga55TgYrViwHTcIhoh2w9FuMvRZUIYTPl6gGRJuwUtBARUzhNbHRpghoW4yKQ0CanPa\nUTSFwRRnoNM1IYaNZauZIXHBEArWdEnG9vFkFNBQVRRiXQuYAI2KLR5P6OBlMhnLugJRYTUzhO7B\nesyQmRZ0MnVNaq0bPEv17nNVi+2CEZQGrtk+iI/84EmxDQUiRNBV18Q9aLGySHIugparwZjimH2T\nNVvsX2YvDDAHSXbSucYSBwVBuGBr1XLa+pyoAi0VFgxRBYJkRwyAMuDbCL7znsvwk/e/CL1++c7w\nZC02GEUQzJCM6W4u/B1i49Rs/HyDlyw4ODKpZIGonqk4zRAAuGP9Adz+5L4wa2mGBSlnKzRNw7L+\njlAwZLxq4S9/8CQOj1Qw6LeyVjE3+O81zOwxHuTedywQNz40Molz/+5OPLbzaKRrWmeCgOqYVMIj\nz4OUkHn75SfD0LUoM0TuJsPYmWTX7jk6IYIq7RYvp+AwHa+zaKBmqZkhorUuovPI8cSIzZEjx+zD\nCblKywZMzXaUrc48AVWW2bSc2Em7YGg4MDyJb/52B/78e0+GPtM1DfO6S7jpXc/HZafMxd5jE9jr\nLyIlMxoMiWWGsA9UC7qhx7NTLEncrWI5IUOPDDzBDHFcocBPjkNEM8TkwRDd369v6EtOAwUkyOD/\ng/9+BDYTF6SMLc+i0TrabMY07UJLwZCyqYu63zjNEHJoKItUc1xlxpLbIvxzQ7rehKyO9HSCzuG7\na3ZFPtM1bcY66e0APRu6FpxvWkNUtOoUzBCu9RO00o4LINTsGcoMMeRgSDIzJPRdxecFI9AM+bdf\nbQ5pLdE154wwx/XKFfhxRTcZhYCqSggQ8J71OV2e086DIbbj4ihrjysHQwUzRJp7aR8T1XCnsnY+\nJ6p9Vywn0mWMd7hRzX1Gi1kOVL5TjxkCBLoLWZkWPFDPnUsejBqrWEqtBxW4xo8q+WA7jiTEPrOe\ny9mMeV2lkD11x/oD+NHje/GJn2zAF+/aDCCaGALCpTE8GFK1HJzj6+7sPRZoifxi40GMVW18b80u\nUZpM872KeUL3rizuKge4+zuL2PaP1+LdL1rpd+Pyvvea8xZjaV8ZpywIM7ECZkhgQ41WLDy0bcDf\nf2QoLQUlhQiOC1Ts4BzDAqr0V4vMlccTIzZHjhyzDyfkKp3EDAk7r3qolrpi2Yizw3i2Sl5qaZ9X\nnbVQCOUF+3QwXkknoMpLVlWioobfbYZvq2kaXNeNiPjJxrfcFs6yg5p8KlOh7anWnBt59BkZtLKI\nmdySsWJ5tdr0W4xWqEwmqvXRCDOkEZBmSLlgBN1lYoIhZDBVaiSg6igzlnFGMZ2b7DDLxsVMRpKz\nryFw0ovG8RPgyYovvfkiXL5qrnC4TNbeNa15Z0pOM39WbTtopR1fJuNtP9OCTgXd6zRw25N7AYQZ\nEvXo28oyGUOPFeOVNUP4xf/1s4fE/xOSgOpkLWBkyHMk/w611eXzweBYNTQnywwA+l15pnSiagvt\ngjBLob3MENW9UbUccT2qtoN1u4/h4k//SvxechYbyC5eWg9BMKSmZKJw0HqUNbhQYusWP0aF/T88\naYUC0Ref1B+7vyRmCL3PjzPdWj4nEkoFXdwnVcsRzIXHdx0V26iCbkPjQQBkaKKG+zYfxtZDI6ha\njrDZjrJtnvO1sU5Z0CU0gGitj9PnAaKdbFSJGl3X/IBB8NlHrjkDv/2bq7GkryO0Le+uxYOXpFfT\n7jKZP7vqNFywPGgO4JVQq5khBBJQ5TieGLE5cuSYfZhZ1vMUQTZgKpbDlOrDbAeeCXTc+EmbT+6G\nhlDGiC8IslFalai7QLzoFadxy6riQHxrXZXBVpWZIf74KchiO46gLZM+Bhmh7/32Wu81uxZkSB4d\nC7NcxP6lMhzAo3bS2FTdZDQRDJkaZ5oyOuWCLo65ZvsgRiaj50SMELpGabrJhFrrxtxHM82hTUKS\n/aJpmjAAZ7Mz8KaLl+F777tCOL4FXWMZsHT7EM6VHXQ8oSw1Z4bEYaYIqMqg+4OYciqGRhxUAqqc\nGSIjEgxh4HMiXUveXYWYb1U7ngU212eG8HH/zY/WAwi6R8SVydQYM+TJ3ceEsxAKhthOezVD/Pvz\npLmd4r3Jmo3JmiNEEJ/a44mMPrj1CAB1Vw6jxYqMXUUTmuYxQ+IEbAkDox5rJWtARgTxbY8ZQt9P\nKlP6/vuuwMa/f5Vyf6KszXYiXTwAz5nm1y5vrTt1KJm6WJM/eftGfOFXHhvk0EjQOnpoooZP3rYh\npAHyS79smT5/5zfW4BX/dh+qtoM+X0CebJSRyRp+4gcMi4Ye6SYzzw+ccgSaIXLiK/5cuC0aNzeI\nMhnHVeqbtTsYUi4YuOLUeeI11yECJM0QNib5Gc6JITly5JhOnJCrtC3VcPOABHURATxjNhKoSNAM\nIZh6uKUkVyGXs1pVy8GkRM+Oy7hzo14VIOCtdSnL7LhubC182Dn3/qcgi+W4InNGzBB57NzII/bG\nkdEKVKCACnf2f/T4XuEAkqFRUJTJTFUwhEQVDT0ok7n1sT1477fWRralNooVy8bgWBUjFUuZsdRj\ngiGzIRGSZGgZehAMOZ4CPI2CAoOm71gCWZghQaYZ8IxxYik5rivYaXHMhYCBM7Ouc0WeZ9k8p9Jn\n4FDRpoumHhtEJGdB5Sjz+5R+mx52fHrWuXAtx0TNRk+pAFPXQtnX3YMebZ4CDDtYS04geN73HJ3A\n5oMjcF0Xn7p9IwBgaV85rEdVs6ekTOa8Zb346QeuBBAIQtK9Rk4kXSNVMKTVzBBd19BdMjE8UQsx\nNVQgfaaszJCixAyh7mjy8bjDWTR1paAqEH5ebduNzOWHRiqhazfTnsvZjFLBEDbbvZsORT5/5xUn\nY6xq41sP7cS//PxZ8f663cdw6oIuLOotYf9QoA1StRzM8Ts80bO/+qn9ODYeJEMo8UXzzPyepGCI\nunxYBVORbJLBBVTHFK2pp8LO4CXbvPTOO360TkZDVPcnL5PJkSPHdOKEXKVlpgSnC/NFp2DodWs8\ng22D93U9HLgwJLYJEBjjFcuOGGVxx+DOkEozhLeyJMP23k2H8UfffFS5Py7eSQtvSVEmIwIZMTXx\nQGBIDigU1znTgmffPv+LTTjgU8aFgKoeDRiUpqhMhkQwHccN3QePbB+MbEtaAxXLwV/fug4AQkYU\ngS/y/Pq1W9hsKpBEbfXE306cYAg5SAUFs6nudyVR4aGJGub5DipnhlRjMuczVTNkUpo7K5aDV5y9\nEL/88EuwgjEUVFAREAqGFs8MEZot0RKlScV141T2bsEMUTvj41UbHUWvdI4HMGqOg2vPX4xdg+PK\n79GY/vAba3DNF+/Dk7uPYdNBr8vXyfO6Qvtqt4AqPYMl0xD/P+zrCszx7zXBWLEcHBiaxOhkNBhS\nj6XUCHrLBU8zRPqdfvnhl+Brf/A88fqwH2jPqhlCZXpeMMRGb0eU5QOkX2dMphliu24ka79+z5C0\n/fE/1x8v4MwQ1VXnz/0+1oJ3YKyKxX1l9HUU8PT+QBC8ajvoLBoombpI2IxWwh2oyOai9VBu3XvS\n3E7xbMmlZ0lrBL/P40qFab678YHtGBiLJqLiAuitBLeVarYbCnqHBVSD92QWXV4mkyNHjunEzLKe\npwgqzRAy8niQwTS0CGsjTkCOO/GGroWo0VyYjQxRMsg8ZkhyuzUCb1OpWhwNXROUTR5geXib58zL\ntaxc6EtohnBmiOgG4jNDzPDAiorFWtV+rr8jMA7iDE5VmQxlKBtprdsI6HdyXDeyOFMdPYEyPJWa\nIyi4e49GnaJQmYyp/mHf9cKVDY95OpHEDBmaqAUCqjPMSW8HKOBp6rrQDErNDGHZPcCrX6dsve04\nIuMX121jpjJwZA2Iqu2gXDBCbcbjUE9AVYYQUFXMz+OKjCkvk6F5cKJq4YeP7YmIYh4b99qLl4tB\n1tl1Xew5OoGlfR34wu9dCABY1h+u518gZYi5E9VdNnF0LOgqVrHaWyZDz2DR0EXQ5dbH9gCACLxR\n8Pun6/bh8n+6OyQuS9h8YKTlY+spmxietCJJga6SiUtXzhGvSWul0W4yVcsr/SRdJvl5SstADLo/\neR085Odu/d4h5fY52o+SaQTBEMVcwW0JLpo6MFrBvK4SessFbDscdAN0Xe+Z6SqZ4nmgtd/0u73Y\nrhwMCT/3BcMTE3clXQ8gfZlMPWbI0/uH8Y93PBv67PSF3bjytPnxB2gReMk26ckRVK11oUXL7WZD\ncihHjhzHL2aW9TxFkJkhxyZq+MWGAwDCAYKCoUc6DPTEUGdDzBBNg80i8p0lI7IdBSYoW8URZ/Bb\n9cpkdE2IeckUdSAqzsmDNEE3mUAzhMZFxnOkTIa9TgpYEC3Z25d6Ozo1vk/KeE9VmYygnCrqwEmE\ncbJmY8PeIVGfW7FscX6qHAz/KeOM+E+94Vy84JS5eO35S5oY/dQjzvn++GvPxuBYFVv8LPhMc9Lb\nAXqu+zsLwplOrRnCusl856EdGKlYQrDTsoNa8LhuJ1WhdzSzDEo5yCvrFCUhrkxmWKHfQ58Bak0L\nVblHNwsME0PuK3dvxUduXYc7/HarNObRioW5XUV0Fg3BFPzpU/tRtRyct6wPrzl/CbZ89jW476NX\nhY6xVAqOHGa6BZ1FAzsGxvHH316LHUfGMFmz2yoUTdenaOqR34CYIXJXs8GxqlgzPvG6c2DoGn73\n0uUtH1tvuYC7njmIz97xTOj9rqKBhT1l3O9f1y0HPdFKOchUD7zF8WTNFuckB+vSMnOC4KXHCqin\n1ZM7elOHkqljYLSCd920RnTsI/SUzZB9x+2ugdEq5nUXlQLmRVPH4FgV//PwLhwcnsR41Wu13Vk0\n8PXfbMPVX/gNgOB3lvdRMHSsfmo//urWpyIBxqRAGa0Lpq7Fsv6Svv+x154t9E7aCW6fVS07FTMk\nK7srR44cOdqJ5MLtWQqZGXLf5sPif+7Uqxag+Dpirhmi4Wv3bhWvOwvRfQpqtqRwDyR0jQgxQxTd\nZDTODIlmQ/s7C9hzNDAQQsEQg4IhQWcFyrDQsZKCIUkUY7441jM4uUNHHWa6Fers7QAt3IpYiFjI\nP/aj9fjREwFLpGI56Cl7n/77Wy+OfC+uTEbGD/7kigZGPDNx+SpPUG2dTxc/EYIhFOha0FNizJB0\nBh89RzXHwSdu8zQlyFD/38f2iDKtONHRmu2JYM40p0seb5ZSEFWXhYKhR9gXBBEMUVyDUaZHRLRx\nzpKjeZCcJ74+HJvwmG5zOguhMpmtfqDv9RcuFWOTQYwLApXRPf6JV+LGB7aJ97ccGsXQRE2wBdsB\nuj6dJSPyPM71HaabHtwRev/A0CRedNo8/P0bzsOCnhLec+UpbRnbzsGx0Ou+jgKGJmrCcaVgM5Uv\nLO0Pd2Srh7BmiI2uoglT1yLBurT3Jjmgz+wfwcHhCnRNE+Lld/3lS/CKf7sv0/hytA6lgg7H9cqD\nOf7z7c/DWYt7sYaVvJIg78HhSYxULMzvLgktEA7+bK/ZPoiJqoWOov8csVIymnvk+4jm5R8+vgfv\nvOJk5WcqkC2kKokmJLEzp4pRGwqG2JJmCLsUGithnGli3zly5DixMfu9FAVU3VUIYWaI2iBXgRvh\nhq7hhvu3x+wzyNBpmq9wn5YZYiczQ8ggc11XWf/Oy1UAoKMQOAQ0/oAZwjRDKKuYIKDKGR+yOOK2\nI4GxqwoIXMhas/HrS1ng3ikKhtChHUU0hBbyNTvC+iEVy8HAWAUvO3MBls+J6iCkKZOZbZjn10xT\nJvxEKJOhuWJBTwkXrejH81fOwd+9/pxU3+UieESxpnaOXK/m2ISaFVGznBlpXE4oymTS3gt8PqV/\nC4aGFXM78ScvWRXZnrqlUJBjeNLCZ//PeQCCEjzuHCzuDRxqOcBNwZD7txzG+29+HIDHnugqmUI4\neWiiht6ymZiZ1fVwbfzOgTF0FAzM6SwIUUYAWL/nGCzHbWtbbXJQuopmJBgSx7wbGKuip1TIzMTI\nihefviD0+tbrrsBHX32mWFO6S17wgpgqncVs6wGtX8fGq3ju8BhKpu4FtqSShbQMREocfP4Xm3DX\nMwdxaKSC5/7xWuz459fitIVBCdi/v/VifOuPXpBprDmaQxzz9NXnLcHK+V3o7QjunYGxKiqWLUpg\nX3v+klhmCOHxXUdxeLQidEQ4aGqTAxzDbN6WWWqJzBDqwJcYDIn9qK1Ms7jjyJohvERRMEP07KVu\nOXLkyNFOnJAzku2o6eZAVEBVRlwgnteCysyTDma8lQSdW0PRL8ORa5fj1jfLqa8ZAnglJypl/qQy\nmWC/3ns12xH7UHWCAcKaIQYz/Hnm7lXnLsKNf3ipeK3K+PIaW06fHPGzLu3MmHJQEErVnjjud69Y\nNo6MVCN1wsH3WDDkBAgKAEHQ7fCIlwk/EVpL0rO3sKeMcsHArde9EOct66vzLQ8FPchcn76wGyVT\nx/sUDv9RhR4P4D2rM/Ea90vPbZYyGdU8IestcdC8cc7SXvHeGy9aBiBwQChAfN6yXizt7xCZV3ke\nJOflHTeuwaM7jgIA5nQWsay/A3uOebpAQxO1VBT0L775IvH/joFxLOgpQdM0XH32Ilbv77FMesvt\nm+dId0blxCUxIub3FGM/axX++lVnhl6fsagHf/ay08RrTdNEKQ8FCbOABFQ/+N0nAAAjFQvzuosR\nse/0ZTLptrtgeR9eesaC+hvmaBnq/YbyM7b9yBg27htGV9HAyvldETYXELZ7bnpwB+5YfwAdiuco\nLol1bDy4z3YcCbOg0lQ2xnUDBJKDKVNVXsztGrmbzDbpfAGPMTnTSjpz5MhxYiPVqq5p2qs1Tduk\nadpWTdOub/eg2o1EZkidYEjcHD7Catnl4MYyFhygfeqaBk3zqL8RzZCYg9TqMENocR6vWkpmiGy8\ncyeA9kz7sBUCqvLCK18fyrwu6Quo7F9/x6W4+uxFyvMhLGIGLjc0ySmZKmYIOa+vPm+xPxZe7+pl\nJnmZEeBlPg6NTKYy0guzMBvy4z97YeS9csHTJTji05BPBGYI6S0s6s2eRe8umygYGh7beRRDEzW8\n+PT5KCsClUMTNaFHsntwHPdv8ajgWRgXU4lPv+k88f9qX2MjtWaIKhjin6OKNk6OSMHQ8dW3XYxb\nr7tCCPsRM+TyVfOwrL8Dn/9dT/CU5tBIMETRRWVhTwkr5nZg37FJWLbjBUNSBGl5kHTHkTHBsjhl\nfhee+8drceaiHmw95AVD2skMIRZEZ9FEyTRw7fmLxWd/dtVpcV/DvK72skKAsKbULe+9TLkNza+y\nDksa0D1nMYHi+d0lEawlpBWwlW9NFVMJCLRYckwvLl81V/zPA6mmruGDtzyB257chzH/+ViomL9L\npo57/uplofe8oGL4fokLTLzjipXi/8d3HQt9llTmco/fGljW8gl9fwYEQziR9n8e3olP/+wZ5XZ0\nqpoWLivPkSNHjulG3RlJ0zQDwH8AeA2AcwC8VdO0dPzvGQq5WwAHpzWrqOdxi9fIZLjdGuHsJb24\n5ORgMQ6CIZ6A2/1bjmD30fGQgRXbTYYxQ1QOwcnzugB42Q5VW8QoMyQaZKAF1GJlMnF0SzkYQnTO\nrAYrH1chxAzxjICeNmZMOU5d0I0tn30NXneBpwPAnaSq7YTq/OnzgbEqHBdYnCIYMgtjIbj4pDk4\nY1F36D1N0zCHOTgz0VFvNXb7QbIVilKpejB0T8vi5xsO4On9w+jtKCiFmh0X+MHa3QCAN/3Hg3jH\njWswWbNRtdwZyTrq6ygIjY/33/I4LMcVWfp6CJXJIAh0AOGyQ7ENmzNfd8FSPH/lXJiGDlPXBCvi\nj1+8Cg9e/3KcvcRjjwTtvo3Q90cUIq0r5nbipLmdsB0XuwbHMwRDAof40EgFC6WSk4W9JewY8Ngm\nnMLfaozXAmYIALzl+ScB8IJ35YIhOlpdedp8vOPyQNdgXnf7HXruVL4wpvsFBUMaYoZIAbjB8SoW\n9JREsFaMI2VZgby+EQNJRpzYeo72gYsUA15HlRveGTBTiRlSNHWctrAbWw6NhrZf2Bu9v4qGjpOl\nVuCdBTNyv8QFJv7vq8/E/16n1gRLCobEdQ/jUGkkEaaqTIZb04Nj1YhwLYHmcS0XUM2RI8cMQ5rV\n+gUAtrquuw0ANE37HoA3Ang67gvbj4zhnd9Y05oRtgEPPXck9jNe1qCKXscJXo0ylXDefvDik/pD\n25Gzz7sebD44ikX/r717D46qPOM4/nvIjRCQJAQCuUASDJcUIcEAsWBFsYjoiBdswSreqVNwtNN2\ninY6tv+1nd7G2tKxyqj1wljFKe2gTMvQaatF7iMgogHlGohcQoKES5K3f+zZdHezm1s3F3K+n5nM\nnj27e/Yk2Wffc57zvs97WYqO1Z5v9T3Ce4a03LfLhwVOSpe9uUNHTrdskCK7rUcbJtM87aJ30iXF\nPpmNrGEQHDaT1cED6NAaHaF/82D39q7sPh4p9KRyUP+k5qvE71Ue19aIBFTGgGSdvRD4O7fnIL2v\nTrEY7YpqemqyjtWeV2I/a/XqVV9R7U37mZfZ8SvXkQanJsnMwr4Tgpat2qE1O482d/G/+7n3deDk\n2ZiFnXva0drwq+9t9QwJ1j2K9hUYPICO9r0VKxnUPylBu73Cm5HxF/y+SkywsKubf/2gStsiruD2\nT0rQ1MJAYeClr27T/hNf6JqxbQ+BiBw+F1l/Izvk5Cu0jki85WUEPpe53m0wsR6c5jj43gVZA3T/\n9AL9ccN+Sd3TM6Q9gn/HzvQMibyoUVsf6Bmybnd1WA/KWMPQIvVPStDtk3O1amug1kSsoUS9raCx\nH5yM+B8+fHVR2MWUYDH2lIR+UZOqkclKyZvSO+K7w6zlkJxYiQkzU3lBpsYNH6SPIqam/n+PCdpT\nc6SruWgV56MI7o6pb/aSBXDpas8RdK6kgyH3D0lq0ZfVzBZLWixJaSNGhxWN6m0m5A7W1cVDtbf6\njK4uztLKTQf1waEaLQrpzihJ140dpt1Vtc0FQatOn9MD0wtablDSk3PHK7GfaUpBpt7YckjnLjbq\ndP1FPTarOOx5k0dlqKIoU3dXjNQVuYP163Ufa1Jeum4tzdG/K0/ofEOjRmcNjPoeP71jou5Y/p6K\nstJ05aiMFo8XZqXppitG6HBNvYqy0nRbWa6eWV+pzLQUZaYl6cYJI7Rh3wn965PjKhuZrqtGD2l+\n7c0Tc/TxsTpVFA3R/CvzVOldMZnvXWENWnLtaBUMSdP6PdW6JqLw3fzyfL1beVzXjBmqhianL4ds\nP9R3Z4/RsEH9m8fdXzdumLZ8dkrTijLDiq8+t2iKXt24P+oBSns8vbBMB0+e7dRrJen5+8r1+3/s\n1cghac0zDlXXnZPJNHlUum6fnKeVGw9oQHKiSvNb/j+C7qkYpYYmp9SkBM0rzenUAX1vNq80R4kJ\nptz0VJXmB5J/t0/O1ds7j4bVcOjLfn7nJL28Yb+KQwoodsQzd5Xp0de2qSw/XbPGBYaVPXHjeL2+\n+aAy05L11ZJs/fgvHypjQJJq6y9q3PBB2vv5GTU0OeWkp2pmO07Me8JLD0zVyxv269TZC2podGHf\nOdH86ZGrtGrrobATjdcWV2jV1kPNSdmy/AxNLczU9gM1Wjg1XyfPXtQt3qwuke4sz9O2AzUamJKo\nscPD/zfB76sZl2fp1BcXVHuuQUPSkrV5/yldbHIakz1QWQNTNN3rrVCYlaYFU/L10dE6FWcP0tx2\nTIWdPiBZbzxylX62do8aGps0u2R42ONzrxiuvZ+f0aS8dJWM6LpY+fb1Y1RRNERTCgK9FKcVDtFN\nE0foybnjJUkzxw7Ve3uPa15prvIyBuj68dk639CoCbndE78/mDs+6hCFoFsm5ehwTb1ml7Q+5DKa\n7Mv6a3ZJto7Vnde+z8/o2UXlOnOuQbuOnFaTk7YfrFHO4P6aM6H9U5t/f844bfz0pCaPzFBWRMJo\n+TcmR62VgK73vRvGqp8FjrPW7jqqWeOHhT2eMSBJZEWpsQAABidJREFUd00bqa+X56um/qLuXbFR\nyQn99PTCQG2f0UMHata4YZpamKmGJqd3K483D599bFaxsgal6J2dVZo3KVcXGptUf6FRO4/UqqIo\nkOwI+s3CMj21epd+ePP45nUPzijUK+8fUG56qo6crtfg1CTlt5I8X3FfuR5fub05RqNJSeynhVPz\nVXP2oo7WntPd00bpmfWVKsm5LGr9k67wlTFDdcukHDU0NWl3VZ2O151XQ5NTQj/TE3PHNT/voRlF\nMpkm5g1WWkqiZlyepf/sO6H7vV5pANBTrK2srpnNlzTHOfeQd/8eSdOcc0tjvaa8vNxt3rw5rjsK\nAAAAAADQGjPb4pwrb+t57emrdlhSfsj9PG8dAAAAAADAJac9yZBNkorNrNDMkiUtkLS6a3cLAAAA\nAACga7RZM8Q512BmSyWtlZQgaYVzbleX7xkAAAAAAEAXaNcUBM65NZLWdPG+AAAAAAAAdDnmtwIA\nAAAAAL5CMgQAAAAAAPgKyRAAAAAAAOArJEMAAAAAAICvkAwBAAAAAAC+QjIEAAAAAAD4CskQAAAA\nAADgKyRDAAAAAACAr5AMAQAAAAAAvkIyBAAAAAAA+ArJEAAAAAAA4CskQwAAAAAAgK+QDAEAAAAA\nAL5CMgQAAAAAAPiKOefiv1GzOkl74r5hwB+yJB3v6Z0ALlHED9B5xA/QecQP0Hnxjp9RzrmhbT0p\nMY5vGGqPc668i7YN9Glmtpn4ATqH+AE6j/gBOo/4ATqvp+KHYTIAAAAAAMBXSIYAAAAAAABf6apk\nyLNdtF3AD4gfoPOIH6DziB+g84gfoPN6JH66pIAqAAAAAABAb8UwGQAAAAAA4CskQwAAAAAAgK/E\nNRliZnPMbI+ZVZrZsnhuG+grzOwzM9thZtvNbLO3LtPM/mZmn3i3GSHPf8KLqT1mdkPP7TnQ/cxs\nhZlVm9nOkHUdjhczu9KLu0oze9rMrLt/F6C7xYifH5nZYa8N2m5mc0MeI34Aj5nlm9l6M/vQzHaZ\n2WPeetogoA2txE+vaoPilgwxswRJv5V0o6QSSQvNrCRe2wf6mGudc6Uh82kvk7TOOVcsaZ13X14M\nLZD0JUlzJP3OizXAL15Q4LMfqjPxslzSw5KKvZ/IbQJ90QuK/ln/ldcGlTrn1kjEDxBFg6TvOOdK\nJFVIWuLFCW0Q0LZY8SP1ojYonj1DpkqqdM7tc85dkLRS0rw4bh/oy+ZJetFbflHSrSHrVzrnzjvn\nPpVUqUCsAb7gnPunpJMRqzsUL2Y2QtJlzrkNLlA1/KWQ1wB9Voz4iYX4AUI456qcc1u95TpJuyXl\nijYIaFMr8RNLj8RPPJMhuZIOhtw/pNZ/YcCvnKS/m9kWM1vsrct2zlV5y0clZXvLxBXQUkfjJddb\njlwP+NWjZvaBN4wm2MWf+AFiMLMCSWWS3hdtENAhEfEj9aI2iAKqQPeb4ZwrVWBI2RIz+0rog17W\nkzmvgXYgXoAOWy6pSFKppCpJv+jZ3QF6NzMbKOlNSY8752pDH6MNAloXJX56VRsUz2TIYUn5Iffz\nvHUAQjjnDnu31ZLeUmDYyzGvG5i822rv6cQV0FJH4+Wwtxy5HvAd59wx51yjc65J0h/0v6GXxA8Q\nwcySFDiRe8U5t8pbTRsEtEO0+OltbVA8kyGbJBWbWaGZJStQAGV1HLcPXPLMLM3MBgWXJc2WtFOB\nWLnXe9q9kv7sLa+WtMDMUsysUIGiQRu7d6+BXqdD8eJ1Z641swqvAvmikNcAvhI8ifPcpkAbJBE/\nQBjv8/68pN3OuV+GPEQbBLQhVvz0tjYoMV4bcs41mNlSSWslJUha4ZzbFa/tA31EtqS3vBmhEiW9\n6px7x8w2SXrdzB6UtF/S1yTJObfLzF6X9KECVZmXOOcae2bXge5nZq9Jmikpy8wOSXpK0k/U8Xj5\nlgIza6RKetv7Afq0GPEz08xKFeja/5mkb0rEDxDFdEn3SNphZtu9dU+KNghoj1jxs7A3tUEWGOoG\nAAAAAADgDxRQBQAAAAAAvkIyBAAAAAAA+ArJEAAAAAAA4CskQwAAAAAAgK+QDAEAAAAAAL5CMgQA\nAAAAAPgKyRAAAAAAAOAr/wUPaj9PgCs9uQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xde7a550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "st_result['drawdown'].plot(figsize=(19, 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "st_result = st_result[['close','buy', 'sell', 'benchmark', 'pnlplus', 'pnlminus']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "st_result['return'] = st_result['close'].pct_change()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "buy_list = list(st_result.dropna(subset=['buy']).index)\n",
    "sell_list = list(st_result.dropna(subset=['sell']).index)\n",
    "trade_over_list = sorted(list(st_result.dropna(subset=['pnlplus']).index) + list(st_result.dropna(subset=['pnlminus']).index))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "order_list = sorted(buy_list + sell_list)\n",
    "sell_dict = {k:'sell' for k in sell_list}\n",
    "buy_dict = {k:'buy' for k in buy_list}\n",
    "directin_dict = dict(buy_dict, **sell_dict)\n",
    "trade_index_pair = [(order_list[order_list.index(trade_over_index)-1], trade_over_index) for trade_over_index in trade_over_list]\n",
    "long_short_trans = {'buy': -1, 'sell':1}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "trade_direction = [long_short_trans[directin_dict[direct]] for direct in trade_over_list]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "max_draw_down_list, return_list = list(), list()\n",
    "for t_index, direct in zip(trade_index_pair, trade_direction):\n",
    "    open_ind, close_ind = t_index\n",
    "    # 获得交易区间的净值曲线\n",
    "    period_net_value = (st_result.loc[open_ind:close_ind]['return'] * direct).add(1)\n",
    "    period_draw_down = (period_net_value / period_net_value.expanding(1).apply(max))-1\n",
    "    # 计算最大回撤\n",
    "    max_draw_down_list.append(abs(period_draw_down.min()))\n",
    "    return_list.append((period_net_value.tolist()[-1] / period_net_value.tolist()[0])-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xd8c1358>"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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6VqWZ7TB/Ynt8yc/CiS3D6OihfTly4Cbr8gEYCS620Q9N9qR5bZIna62fTZJSygeS3Jdk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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd8e1080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.DataFrame(data=[max_draw_down_list, return_list], index=['mm','return']).T.plot.scatter(x='mm',y='return',figsize=(19,7))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "open_ind, close_ind = trade_index_pair[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 获得交易区间的净值曲线\n",
    "period_net_value = (st_result.loc[open_ind:close_ind]['return'] * trade_direction[0]).add(1)\n",
    "period_draw_down = (period_net_value / period_net_value.expanding(1).apply(max))-1\n",
    "# 计算最大回撤\n",
    "max_draw_down = abs(period_draw_down.min())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.059473531600617857"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max_draw_down"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.02199644747027385"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(period_net_value.tolist()[-1] / period_net_value.tolist()[0])-1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.059473531600617857"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>buy</th>\n",
       "      <th>sell</th>\n",
       "      <th>benchmark</th>\n",
       "      <th>pnlplus</th>\n",
       "      <th>pnlminus</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   buy  sell  benchmark  pnlplus  pnlminus\n",
       "0  NaN   NaN        NaN      NaN       NaN\n",
       "1  NaN   NaN        NaN      NaN       NaN\n",
       "2  NaN   NaN        NaN      NaN       NaN\n",
       "3  NaN   NaN        NaN      NaN       NaN\n",
       "4  NaN   NaN        NaN      NaN       NaN"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "st_result.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
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   "file_extension": ".py",
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